Hasso-Plattner-Institut
Prof. Dr. h.c. Hasso Plattner
  
 

All Publications

2019

  • Halfpap, S.: Efficient Scale-Out Using Query-Driven Workload Distribution and Fragment Allocation. Proceedings of the VLDB 2019 PhD Workshop co-located with the 45th International Conference on Very Large Databases (VLDB 2019) (2019).
     
  • Dreseler, M., Kossmann, J., Boissier, M., Klauck, S., Uflacker, M., Plattner, H.: Hyrise Re-engineered: An Extensible Database System for Research in Relational In-Memory Data Management. 22nd International Conference on Extending Database Technology (EDBT). pp. 313-324 (2019).
     
  • Klauck, S., Plauth, M., Knebel, S., Strobl, M., Santry, D., Eggert, L.: Eliminating the Bandwidth Bottleneck of Central Query Dispatching Through TCP Connection Hand-Over. Datenbanksysteme für Business, Technologie und Web (BTW), 18. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS). pp. 97-106 (2019).
     
  • Schmidt, C., Huegle, J., Bode, P., Uflacker, M.: Load-Balanced Parallel Constraint-Based Causal Structure Learning on Multi-Core Systems for High-Dimensional Data. SIGKDD Workshop on Causal Discovery. p. 59--77 (2019).
     
  • Matthies, C., Hesse, G.: Towards Using Data to Inform Decisions in Agile Software Development: Views of Available Data. International Conference on Software Technologies (ICSOFT). pp. 552-559 (2019).
     
  • Hesse, G., Matthies, C., Glass, K., Huegle, J., Uflacker, M.: Quantitative Impact Evaluation of an Abstraction Layer for Data Stream Processing Systems. IEEE International Conference on Distributed Computing Systems (ICDCS). pp. 1381-1392 (2019).
     
  • Hesse, G., Matthies, C., Sinzig, W., Uflacker, M.: Adding Value by Combining Business and Sensor Data: An Industry 4.0 Use Case. International Conference on Database Systems for Advanced Applications (DASFAA). pp. 528-532 (2019).
     
  • Schmidt, C., Uflacker, M.: Workload-Driven Data Placement for GPU-Accelerated Database Management Systems. Datenbanksysteme für Business, Technologie und Web BTW 2019, 18. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 4.-8. März 2019, Rostock, Germany, Workshopband (2019).
     
  • Schlosser, R., Richly, K.: Dynamic Pricing under Competition with Data-Driven Price Anticipations and Endogenous Reference Price Effects. Journal of Revenue & Pricing Management, to appear. 1-14 (2019).
     
  • Hesse, G., Sinzig, W., Matthies, C., Uflacker, M.: Application of Data Stream Processing Technologies in Industry 4.0 - What is Missing? International Conference on Data Science, Technology and Applications (DATA). pp. 304-310 (2019).
     
  • Matthies, C., Huegle, J., Dürschmid, T., Teusner, R.: Attitudes, Beliefs, and Development Data Concerning Agile Software Development Practices. Proceedings of the 41st International Conference on Software Engineering Companion (ICSE'19) (2019).
     
  • Schlosser, R., Kossmann, J., Boissier, M.: Efficient Scalable Multi-Attribute Index Selection Using Recursive Strategies. IEEE 35th International Conference on Data Engineering (ICDE 2019). pp. 1238-1249. IEEE (2019).
     
  • Boissier, M., Jendruk, M.: Workload-Driven and Robust Selection of Compression Schemes for Column Stores. 22nd International Conference on Extending Database Technology (EDBT). pp. 674-677 (2019).
     
  • Halfpap, S., Schlosser, R.: Workload-Driven Fragment Allocation for Partially Replicated Databases Using Linear Programming. IEEE 35th International Conference on Data Engineering (ICDE 2019). pp. 1746-1749 (2019).
     
  • Kossmann, J., Schlosser, R.: A Framework for Self-Managing Database Systems. ICDE workshop (Self-Managing Databases). pp. 100-106 (2019).
     
  • Halfpap, S., Schlosser, R.: A Comparison of Allocation Algorithms for Partially Replicated Databases. IEEE 35th International Conference on Data Engineering (ICDE 2019). pp. 2008-2011 (2019).
     
  • Schlosser, R.: Stochastic Dynamic Pricing with Strategic Customers and Reference Price Effects. 8th International Conference on Operations Research and Enterprise Systems, ICORES 2019. pp. 179-188 (2019).
     
  • Schlosser, R., Richly, K.: Dynamic Pricing Competition with Unobservable Inventory Levels: A Hidden Markov Model Approach. Communications in Computer and Information Science 966. pp. 15-36. Springer (2019).
     
  • Grasnick, B., Perscheid, C., Uflacker, M.: A Framework for the Automatic Combination and Evaluation of Gene Selection Methods. In: Fdez-Riverola, F., Mohamad, M.S., Rocha, M., Paz, J.F.D., and González, P. (eds.) 12th International Conference on Practical Applications of Computational Biology and Bioinformatics (PACBB) 2018. Springer (2019).
     
  • Perscheid, C., Uflacker, M.: Integrating Biological Context into the Analysis of Gene Expression Data. In: Rodríguez, S., Prieto, J., Faria, P., Kłos, S., Fernández, A., Mazuelas, S., Jiménez-López, M.D., Moreno, M.N., and Navarro, E.M. (eds.) Distributed Computing and Artificial Intelligence, Special Sessions, 15th International Conference. pp. 339-343. Springer International Publishing, Cham (2019).
     
  • Schlosser, R.: Data-Driven Stochastic Dynamic Pricing and Ordering. Operations Research Proceedings 2018, forthcoming (2019).
     
  • Schlosser, R., Walther, C., Boissier, M., Uflacker, M.: Automated Repricing and Ordering Strategies in Competitive Markets. AI Communications. 32, 15-29 (2019).
     
  • Matthies, C., Dobrigkeit, F., Hesse, G.: An Additional Set of (Automated) Eyes: Chatbots for Agile Retrospectives. IEEE/ACM International Workshop on Bots in Software Engineering (BotSE). pp. 34-37 (2019).
     

2018

  • Boissier, M.: Reducing the Footprint of Main Memory HTAP Systems: Removing, Compressing, Tiering, and Ignoring Data. PhD Workshop at VLDB. CEUR-WS.org (2018).
     
  • Schmidt, C., Dreseler, M., Akin, B., Roy, A.: A Case for Hardware-Supported Sub-Cache Line Accesses. Data Management on New Hardware (DaMoN), in conjunction with SIGMOD (2018).
     
  • Matthies, C.: Relying on Development Data for Software Development Processes. In: Meinel, C., Plattner, H., Döllner, J., Weske, M., Polze, A., Hirschfeld, R., Naumann, F., Giese, H., Baudisch, P., Friedrich, T., and Müller, E. (eds.) Proceedings of the 10th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering. pp. 161-170. Universitätsverlag Potsdam, Potsdam, Germany (2018).
     
  • Hesse, G., Reissaus, B., Matthies, C., Lorenz, M., Kraus, M., Uflacker, M.: Senska - Towards an Enterprise Streaming Benchmark. TPC Technology Conference (TPCTC). pp. 25-40. , Cham (2018).
     
  • Dreseler, M., Kossmann, J., Frohnhofen, J., Uflacker, M., Plattner, H.: Fused Table Scans: Combining AVX-512 and JIT to Double the Performance of Multi-Predicate Scans. Joint Workshop of HardBD (International Workshop on Big Data Management on Emerging Hardware) and Active (Workshop on Data Management on Virtualized Active Systems), in conjunction with ICDE (2018).
     
  • Schlosser, R.: Stochastic Dynamic Multi-Product Pricing under Competition. Operations Research Proceedings 2017. pp. 527-533 (2018).
     
  • Hiller, J., Kimmerlin, M., Plauth, M., Heikkila, S., Klauck, S., Lindfors, V., Eberhardt, F., Bursztynowski, D., Santos, J.L., Hohlfeld, O., Wehrle, K.: Giving Customers Control over Their Data: Integrating a Policy Language into the Cloud. 2018 IEEE International Conference on Cloud Engineering (IC2E) (2018).
     
  • Schlosser, R., Richly, K.: Dynamic Pricing Strategies in a Finite Horizon Duopoly with Partial Information. 7th International Conference on Operations Research and Enterprise Systems, ICORES 2018. pp. 21-30 (2018).
     
  • Boissier, M., Schlosser, R., Uflacker, M.: Hybrid Data Layouts for Tiered HTAP Databases with Pareto-Optimal Data Placements. IEEE 34th International Conference on Data Engineering (ICDE 2018). pp. 209-220 (2018).
     
  • Dreseler, M., Gasda, T., Kossmann, J., Uflacker, M., Plattner, H.: Adaptive Access Path Selection for Hardware-Accelerated DRAM Loads. Australasian Database Conference (ADC) (2018).
     
  • Kossmann, J., Dreseler, M., Gasda, T., Uflacker, M., Plattner, H.: Visual Evaluation of SQL Plan Cache Algorithms. Australasian Database Conference (ADC) (2018).
     
  • Perscheid, C., Benzler, J., Hermann, C., Janke, M., Moyer, D., Laedtke, T., Adeoye, O., Denecke, K., Kirchner, G., Beerman, S., Schwarz, N., Tom-Aba, D., Krause, G.: Ebola Outbreak Containment: Real-Time Task and Resource Coordination With SORMAS. Frontiers in ICT. 5, 7 (2018).
     
  • Boissier, M., Kurzynski, D.: Workload-Driven Horizontal Partitioning and Partition Pruning for Large HTAP Systems. 2018 IEEE 34th International Conference on Data Engineering Workshops. pp. 116-121 (2018).
     
  • Schlosser, R., Walther, C., Boissier, M., Uflacker, M.: Data-Driven Inventory Management and Dynamic Pricing Competition on Online Marketplaces. Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI 2018). pp. 5856-5858 (2018).
     
  • Kossmann, J.: Self-Driving: From General Purpose to Specialized DBMSs. Proceedings of the VLDB 2018 PhD Workshop co-located with the 44th International Conference on Very Large Databases (VLDB 2018), Rio de Janeiro, Brasil, Aug 27-31, 2018 (2018).
     
  • Schlosser, R., Boissier, M.: Dynamic Pricing under Competition on Online Marketplaces: A Data-Driven Approach. KDD '18 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. pp. 705-714 (2018).
     
  • Schlosser, R., Boissier, M.: Optimal Repricing Strategies in a Stochastic Infinite Horizon Duopoly. Operations Research and Enterprise Systems. pp. 129-150. Springer (2018).
     
  • Podlesny, N.J., Kayem, A.V.D.M., von Schorlemer, S., Uflacker, M.: Minimising Information Loss on Anonymised High Dimensional Data with Greedy In-Memory Processing. 29th International Conference on Database and Expert Systems Applications - DEXA 2018 (2018).
     
  • Matthies, C.: Scrum2Kanban: Integrating Kanban and Scrum in a University Software Engineering Capstone Course. Proceedings of the 2nd International Workshop on Software Engineering Education for Millennials. pp. 48-55. ACM, New York, NY, USA (2018).
     
  • Ruhrländer, R.P., Boissier, M., Uflacker, M.: Improving Box Office Result Predictions for Movies Using Consumer-Centric Models. KDD '18 Proceedings of the 24th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining. pp. 655-664 (2018).
     
  • Perscheid, C., Grasnick, B., Uflacker, M.: Integrative Gene Selection on Gene Expression Data: Providing Biological Context to Traditional Approaches. Journal of Integrative Bioinformatics. (2018).
     
  • Schlosser, R., Boissier, M.: Dealing with the Dimensionality Curse in Dynamic Pricing Competition: Using Frequent Repricing to Compensate Imperfect Market Anticipations. Computers and Operations Research. 100, 26-42 (2018).
     
  • Schmidt, C., Huegle, J., Uflacker, M.: Order-independent constraint-based causal structure learning for gaussian distribution models using GPUs. SSDBM '18 Proceedings of the 30th International Conference on Scientific and Statistical Database Management. p. 19:1--19:10. ACM, New York, NY, USA (2018).
     
  • Matthies, C., Teusner, R., Hesse, G.: Beyond Surveys: Analyzing Software Development Artifacts to Assess Teaching Efforts. IEEE Frontiers in Education Conference (FIE). pp. 1-9 (2018).
     
  • Teusner, R., Matthies, C., Staubitz, T.: What Stays in Mind? - Retention Rates in Programming MOOCs. 2018 IEEE Frontiers in Education Conference (FIE) (2018).
     
  • Teusner, R., Hille, T., Staubitz, T.: Effects of Automated Interventions in Programming Assignments: Evidence from a Field Experiment. L@S 2018: Fifth Annual ACM Conference on Learning at Scale (2018).
     
  • Perscheid, C., Faber, L., Kraus, M., Arndt, P., Janke, M., Rehfeldt, S., Schubotz, A., Slosarek, T., Uflacker, M.: A Tissue-aware Gene Selection Approach for Analyzing Multi-tissue Gene Expression Data. The 9th Workshop on Integrative Data Analysis in Systems Biology (IDASB), IEEE International Conference on Bioinformatics and Biomedicine (BIBM) (2018).
     
  • Teusner, R., Hille, T.: On the Impact of Programming Exercise Descriptions. Proceedings of the 2018 Learning With MOOCS (LWMOOCS2018). pp. 51-54. IEEE (2018).
     

2017

  • Wiese, G., Weissenborn, D., Neves, M.: Neural Question Answering at BioASQ 5B. Biomedical Natural Language Processing (BioNLP) Workshop at ACL'17. (2017).
     
  • Schlosser, R., Boissier, M.: Optimal Price Reaction Strategies in the Presence of Active and Passive Competitors. Proceedings of the 6th International Conference on Operations Research and Enterprise Systems (ICORES), Porto, Portugal. pp. 47-56 (2017).
     
  • Teusner, R., Hille, T., Hagedorn, C.: Aspects on Finding the Optimal Practical Programming Exercise for MOOCs. Proceedings of the 47th Annual Frontiers in Education (FIE) Conference. IEEE (2017).
     
  • Treffer, A., Uflacker, M.: Back-in-Time Debugging in Heterogeneous Software Stacks. 2017 IEEE International Symposium on Software Reliability Engineering Workshops (ISSREW). IEEE (2017).
     
  • Treffer, A., Perscheid, M., Uflacker, M.: Bringing back-in-time debugging down to the database. 2017 IEEE 24th International Conference on Software Analysis, Evolution and Reengineering (SANER). IEEE (2017).
     
  • Matthies, C., Treffer, A., Uflacker, M.: Prof. CI: Employing Continuous Integration Services and GitHub Workflows to Teach Test-Driven Development. 2017 IEEE Frontiers in Education Conference (FIE). pp. 1-8 (2017).
     
  • Teusner, R., Matthies, C., Giese, P.: Should I Bug You? Identifying Domain Experts in Software Projects Using Code Complexity Metrics. 2017 IEEE International Conference on Software Quality, Reliability and Security (QRS). pp. 418-425 (2017).
     
  • Teusner, R., Rollmann, K.-A., Renz, J.: Taking Informed Action on Student Activity in MOOCs. Proceedings of the Fourth (2017) ACM Conference on Learning @ Scale. pp. 149-152. ACM, New York, NY, USA (2017).
     
  • Zimmermann, T., Djürken, T., Mayer, A., Janke, M., Boissier, M., Schwarz, C., Schlosser, R., Uflacker, M.: Detecting Fraudulent Advertisements on a Large E-Commerce Platform. Proceedings of the Nineteenth International Workshop on Data Warehousing and OLAP, DOLAP, Venice, Italy, March 21, 2017 (2017).
     
  • Staubitz, T., Teusner, R., Meinel, C.: Towards a Repository for Open Auto-Gradable Programming Exercises. 2017 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE) (2017).
     
  • Schlosser, R.: Stochastic Dynamic Pricing and Advertising in Isoelastic Oligopoly Models. European Journal of Operational Research. 259, 1144-1155 (2017).
     
  • Zimmermann, T., Djürken, T., Mayer, A., Janke, M., Boissier, M., Schwarz, C., Schlosser, R., Uflacker, M.: Detecting Fraudulent Advertisements on a Large E-Commerce Platform. Proceedings of the Nineteenth International Workshop on Data Warehousing and OLAP, DOLAP, Venice, Italy, March 21, 2017 (2017).
     
  • Uflacker, M., Schlosser, R., Meinel, C.: Ertragsmanagement im Wandel - Potentiale der In-Memory Technologie. In: Gläß, R. and Leukert, B. (eds.) Handel 4.0: Die Digitalisierung des Handels. Strategien, Technologien, Transformation. pp. 177-190. Springer Gabler (2017).
     
  • Boissier, M., Spivak, A., Meyer, C.: Improving Materialization for Tiered Column Stores: A Workload-Aware Ansatz Based on Table Reordering. ACSW '17 Proceedings of the Australasian Computer Science Week Multiconference, ACSW '17. pp. 25:1-25:10. ACM, New York, NY, USA (2017).
     
  • Schapranow, M.-P.: Die digitale Transformation mitgestalten — Der Datenspendeausweis: Souveräner Umgang mit persönlichen Gesundheitsdaten. Plattform Life Sciences. 38--39 (2017).
     
  • Boissier, M., Spivak, A., Meyer, C.: Improving Materialization for Tiered Column Stores: A Workload-Aware Ansatz Based on Table Reordering. ACSW '17 Proceedings of the Australasian Computer Science Week Multiconference, ACSW '17. pp. 25:1-25:10. ACM, New York, NY, USA (2017).
     
  • Uflacker, M., Schlosser, R., Meinel, C.: Ertragsmanagement im Wandel - Potentiale der In-Memory Technologie. In: Gläß, R. and Leukert, B. (eds.) Handel 4.0: Die Digitalisierung des Handels. Strategien, Technologien, Transformation. pp. 177-190. Springer Gabler (2017).
     
  • Teusner, R., Wittstruck, N., Staubitz, T.: Video Conferencing as a Peephole to MOOC Participants. 2017 IEEE International Conference on Teaching, Assessment, and Learning for Engineering (TALE). IEEE (2017).
     
  • Staubitz, T., Teusner, R., Meinel, C.: openHPI's Coding Tool Family: CodeOcean, CodeHarbor, CodePilot. Automatische Bewertung von Programmieraufgaben (ABP) (2017).
     
  • Boissier, M., Schlosser, R., Podlesny, N., Serth, S., Bornstein, M., Latt, J., Lindemann, J., Selke, J., Uflacker, M.: Data-Driven Repricing Strategies in Competitive Markets: An Interactive Simulation Platform. Proceedings of the Eleventh ACM Conference on Recommender Systems (RecSys '17). pp. 355-357. ACM, New York, NY, USA (2017).
     
  • Neves, M., Folkerts, H., Jankrift, M., Niedermeier, J., Stachewicz, T., Tietböhl, S., Kraus, M., Uflacker, M.: Olelo: A Question Answering Application for Biomedicine. ACL'17 Demo (2017).
     
  • Neves, M., Eckert, F., Folkerts, H., Uflacker, M.: Assessing the performance of Olelo, a real-time biomedical question answering application. Biomedical Natural Language Processing (BioNLP) Workshop at ACL'17 (2017).
     
  • Neves, M.: A parallel collection of clinical trials in Portuguese and English. 10th Workshop on Building and Using Comparable Corpora (BUCC) at ACL'17 (2017).
     
  • Habibi, M., Weber, L., Neves, M., Wiegandt, D., Leser, U.: Deep Learning with Word Embeddings improves Biomedical Named Entity Recognition. ISMB/ECCB (2017).
     
  • Kraus, M., Schapranow, M.-P.: An In-Memory Database Platform for Systems Medicine. Proceedings of the International Conference on Bioinformatics and Computational Biology. p. 93--100. The International Society for Computers and Their Applications (ISCA) (2017).
     
  • Folkerts, H., Neves, M.: Olelo’s named-entity recognition web service in the BeCalm TIPS task. BeCalm Workshop (2017).
     
  • Lorenz, M., Rudolph, J.-P., Hesse, G., Uflacker, M., Plattner, H.: Object-Relational Mapping Revisited - A Quantitative Study on the Impact of Database Technology on O/R Mapping Strategies. Hawaii International Conference on System Sciences (HICSS). pp. 4877-4886 (2017).
     
  • Kraus, M., Niedermeier, J., Jankrift, M., Tietboehl, S., Stachewicz, T., Folkerts, H., Uflacker, M., Neves, M.: Olelo: a web application for intuitive exploration of biomedical literature. Nucleic acids research. (2017).
     
  • Dreseler, M., Kissinger, T., Djürken, T., Eric, L., Uflacker, M., Habich, D., Plattner, H., Lehner, W.: Hardware-Accelerated Memory Operations on Large-Scale NUMA Systems. Eighth International Workshop on Accelerating Analytics and Data Management Systems Using Modern Processor and Storage Architectures (ADMS), in conjunction with VLDB (2017).
     
  • Schapranow, M.-P., Brauer, J., Plattner, H.: The Data Donation Pass: Enabling Sovereign Control of Personal Healthcare Data. Proceedings of the World Congress in Computer Science, Computer Engineering, and Applied Computing. CSCE (2017).
     
  • Schapranow, M.-P., Brauer, J., Plattner, H.: The Data Donation Pass: Enabling Sovereign Control of Personal Healthcare Data. Proceedings of the World Congress in Computer Science, Computer Engineering, and Applied Computing. CSCE (2017).
     
  • Richly, K., Moritz, F., Schwarz, C.: Utilizing Artificial Neural Networks to Detect Compound Events in Spatio-Temporal Soccer Data. SIGKDD’17 Workshop on Mining and Learning from Time Series (MiLeTS) (2017).
     
  • Serth, S., Podlesny, N., Bornstein, M., Lindemann, J., Latt, J., Selke, J., Schlosser, R., Boissier, M., Uflacker, M.: An Interactive Platform to Simulate Dynamic Pricing Competition on Online Marketplaces. 21st IEEE International Enterprise Distributed Object Computing Conference, EDOC 2017, Quebec City, QC, Canada, October 10-13, 2017. pp. 61-66. IEEE (2017).
     
  • Hesse, G., Matthies, C., Reissaus, B., Uflacker, M.: A New Application Benchmark for Data Stream Processing Architectures in an Enterprise Context: Doctoral Symposium. ACM International Conference on Distributed and Event-based Systems (DEBS). pp. 359-362 (2017).
     
  • Schwarz, C., Schmidt, C.: Interactive Product Cost Simulation on Coprocessors. HPI Future SOC Lab: Proceedings 2015. pp. 103-107 (2017).
     
  • Schapranow, M.-P.: Die digitale Transformation mitgestalten — Der Datenspendeausweis: Souveräner Umgang mit persönlichen Gesundheitsdaten. Plattform Life Sciences. 38--39 (2017).
     
  • Seiffert, M., Holstein, F., Schlosser, R., Schiller, J.: Next Generation Cooperate Wearables: Generalized Activity Assessment Computed Fully Distributed Within a Wireless Body Area Network. IEEE Access Journal. 5, 16793-16807 (2017).
     
  • Schlosser, R., Boissier, M.: Optimal Price Reaction Strategies in the Presence of Active and Passive Competitors. Proceedings of the 6th International Conference on Operations Research and Enterprise Systems (ICORES), Porto, Portugal. pp. 47-56 (2017).
     

2016

  • Schwarz, C., Schmidt, C., Hopstock, M., Sinzig, W., Plattner, H.: Efficient Calculation and Simulation of Product Cost Leveraging In-Memory Technology and Coprocessors. The Sixth International Conference on Business Intelligence and Technology (BUSTECH 2016) (2016).
     
  • Faust, M., Boissier, M., Keller, M., Schwalb, D., Bischoff, H., Eisenreich, K., Färber, F., Plattner, H.: Footprint Reduction and Uniqueness Enforcement with Hash Indices in SAP HANA. Database and Expert Systems Applications: 27th International Conference, DEXA 2016, Porto, Portugal, September 5-8, 2016, Proceedings, Part II. p. 137--151 (2016).
     
  • Cruz, H.F.D., Grasnick, B., Dinger, H., Bier, F., Meinel, C.: Early Detection of Acute Kidney Injury with Bayesian Networks. Proceedings of the 7th International Symposium on Semantic Mining in Biomedicine. pp. 29-36 (2016).
     
  • Neves, M., Yepes, A.J., Névéol, A.: The Scielo Corpus: a Parallel Corpus of Scientific Publications for Biomedicine. Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC 2016). European Language Resources Association (ELRA) (2016).
     
  • Richly, K., Bothe, M., Rohloff, T., Schwarz, C.: Recognizing Compound Events in Spatio-Temporal Football Data. International Conference on Internet of Things and Big Data (IoTBD) (2016).
     
  • Richly, K., Teusner, R.: Where is the Money Made? An Interactive Visualization of Profitable Areas in New York City. The 2nd EAI International Conference on IoT in Urban Space (Urb-IoT) (2016).
     
  • Schapranow, M.-P.: Die In-Memory-Technologie in der personalisierten Medizin, https://news.sap.com/germany/die-in-memory-technologie-in-der-personalisierten-medizin/, (2016).
     
  • Bojar, O., Chatterjee, R., Federmann, C., Graham, Y., Haddow, B., Huck, M., Yepes, A.J., Koehn, P., Logacheva, V., Monz, C., Negri, M., Neveol, A., Neves, M., Popel, M., Post, M., Rubino, R., Scarton, C., Specia, L., Turchi, M., Verspoor, K., Zampieri, M.: Findings of the 2016 Conference on Machine Translation. Proceedings of the First Conference on Machine Translation (WMT16) at the Conference of the Association of Computational Linguistics. pp. 131-198 (2016).
     
  • Grundke, M., Jasper, J., Perchyk, M., Sachse, J., Krestel, R., Neves, M.: TextAI: Enhancing TextAE with Intelligent Annotation Support. Proceedings of the Seventh International Symposium on Semantic Mining for Biomedicine (SMBM). pp. 80-84 (2016).
     
  • Neves, M., Kraus, M.: BioMedLAT Corpus: Annotation of the Lexical Answer Type for Biomedical Questions. OKBQA 2016. p. 49 (2016).
     
  • Horschig, F.: Prediction of Health Research Data using In-Memory Database Technology. (2016).
     
  • Schwalb, D., Bk, G.K., Dreseler, M., S, A., Faust, M., Hohl, A., Berning, T., Makkar, G., Plattner, H., Deshmukh, P.: Hyrise-NV: Instant Recovery for In-Memory Databases using Non-Volatile Memory. International Conference on Database Systems for Advanced Applications (DASFAA) (2016).
     
  • Schwalb, D., Faust, M., Dreseler, M., Flemming, P., Plattner, H.: Hyrise-NV: Leveraging Non-Volatile Memory for Instant Restarts of In-Memory Database Systems. International Conference on Data Engineering (ICDE) (2016).
     
  • Postel, M.: Geographical Exploration of Key Performance Indicators for Elderly Care Planning, (2016).
     
  • Rueckert, L.: Real-time Exploration of Healthcare Data using In-Memory Database Technology, (2016).
     
  • Boissier, M., Djürken, T., Schlosser, R., Faust, M.: A Cost-Aware and Workload-Based Index Advisor for Columnar In-Memory Databases. 22nd International Conference, ICIST 2016, Druskininkai, Lithuania, October 13-15, 2016, Proceedings, CCIS 639. p. 285--299 (2016).
     
  • Matthies, C., Kowark, T., Richly, K., Uflacker, M., Plattner, H.: How Surveys, Tutors, and Software Help to Assess Scrum Adoption in a Classroom Software Engineering Project. Proceedings of the 38th International Conference on Software Engineering Companion. pp. 313-322. ACM, New York, NY, USA (2016).
     
  • Schlosser, R.: Stochastic Dynamic Multi-Product Pricing with Dynamic Advertising and Adoption Effects. Journal of Revenue and Pricing Management. 15, 153-169 (2016).
     
  • Kowark, T., Matthies, C., Uflacker, M., Plattner, H.: Lightweight Collection and Storage of Software Repository Data with DataRover. Proceedings of the 31st IEEE/ACM International Conference on Automated Software Engineering. pp. 810-815. ACM, New York, NY, USA (2016).
     
  • Matthies, C., Kowark, T., Richly, K., Uflacker, M., Plattner, H.: ScrumLint: Identifying Violations of Agile Practices Using Development Artifacts. Proceedings of the 9th International Workshop on Cooperative and Human Aspects of Software Engineering. pp. 40-43. ACM, New York, NY, USA (2016).
     
  • Schapranow, M.-P., Uflacker, M., Sariyar, M., Semler, S., Fichte, J., Schielke, D., Ekinci, K., Zahn, T.: Towards An Integrated Health Research Process: A Cloud-based Approach. Proceedings of IEEE International Conference on Big Data. p. 2813--2818. IEEE (2016).
     
  • Schapranow, M.-P.: Die In-Memory-Technologie in der personalisierten Medizin, https://news.sap.com/germany/die-in-memory-technologie-in-der-personalisierten-medizin/, (2016).
     
  • Schapranow, M.-P.: Datenspendeausweis für ­Bürger: Ein Plädoyer für mündige Patienten, die die eigenen Gesundheitsdaten am besten verstehen. Management & Krankenhaus. (2016).
     
  • Matthies, C., Kowark, T., Uflacker, M.: Teaching Agile the Agile Way — Employing Self-Organizing Teams in a University Software Engineering Course. 2016 American Society for Engineering Education (ASEE) International Forum (2016).
     
  • Matthies, C., Kowark, T., Uflacker, M., Plattner, H.: Agile Metrics for a University Software Engineering Course. 2016 IEEE Frontiers in Education Conference (FIE). pp. 1-5. IEEE (2016).
     
  • Boissier, M., Djürken, T., Schlosser, R., Faust, M.: A Cost-Aware and Workload-Based Index Advisor for Columnar In-Memory Databases. 22nd International Conference, ICIST 2016, Druskininkai, Lithuania, October 13-15, 2016, Proceedings, CCIS 639. p. 285--299 (2016).
     
  • Schlosser, R.: Stochastic Dynamic Multi-Product Pricing with Dynamic Advertising and Adoption Effects. Journal of Revenue and Pricing Management. 15, 153-169 (2016).
     
  • Schlosser, R.: Joint Stochastic Dynamic Pricing and Advertising with Time-Dependent Demand. Journal of Economic Dynamics and Control. 73, 439-452 (2016).
     
  • Lorenz, M., Hesse, G., Rudolph, J.-P.: Object-relational Mapping Revised - Guideline Review and Consolidation. International Joint Conference on Software Technologies (ICSOFT). pp. 157-168 (2016).
     
  • Richly, K., Lorenz, M., Oergel, S.: S4J - Integrating SQL into Java at Compiler-Level. To appear in Information and Software Technologies - 22st International Conference, ICIST 2016, Proceedings (Springer - Communications in Computer and Information Science) (2016).
     
  • Richly, K., Lorenz, M., Oergel, S.: S4J - Integrating SQL into Java at Compiler-Level. To appear in Information and Software Technologies - 22st International Conference, ICIST 2016, Proceedings (Springer - Communications in Computer and Information Science) (2016).
     
  • Schapranow, M.-P.: Datenspendeausweis für ­Bürger: Ein Plädoyer für mündige Patienten, die die eigenen Gesundheitsdaten am besten verstehen. Management & Krankenhaus. (2016).
     

2015

  • Hesse, G., Lorenz, M.: Conceptual Survey on Data Stream Processing Systems. IEEE International Conference on Parallel and Distributed Systems (ICPADS). 797-802 (2015).
     
  • Hesse, G., Lorenz, M.: Conceptual Survey on Data Stream Processing Systems. IEEE International Conference on Parallel and Distributed Systems (ICPADS). 797-802 (2015).
     
  • Schapranow, M.-P., Perscheid, C., Wachsmann, A., Siegert, M., Bock, C., Horschig, F., Liedke, F., Brauer, J., Plattner, H.: A Federated In-Memory Database System For Life Sciences. Proceedings of the 9th International Workshop on Business Intelligence for the Real Time Enterprise (BIRTE) (2015).
     
  • Teusner, R., Richly, K., Staubitz, T., Renz, J.: Enhancing Content between Iterations of a MOOC – Effects on Key Metrics. EMOOCs 2015: European MOOCs Stakeholder Summit. pp. 147-156 (2015).
     
  • Schwalb, D., Berning, T., Faust, M., Dreseler, M., Plattner, H.: nvm_malloc: Memory Allocation for NVRAM. International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures (ADMS), in Conjuction with VLDB (2015).
     
  • Klauck, S., Butzmann, L., Müller, S., Faust, M., Schwalb, D., Uflacker, M., Sinzig, W., Plattner, H.: Interactive, Flexible, and Generic What-If Analyses Using In-Memory Column Stores. Database Systems for Advanced Applications. pp. 488-497 (2015).
     
  • Schapranow, M.-P., Perscheid, C., Plattner, H.: IT-Aided Business Process Enabling Real-time Analysis of Candidates for Clinical Trials. Proceedings of the 4th International Conference on Global Health Challenges. pp. 67-73. IARIA (2015).
     
  • Kowark, T., Plattner, H.: Search Space Reduction for Post-Matching Correspondence Provisioning. The 10th International Workshop on Ontology Matching, In Conjunction with the 14th International Semantic Web Conference (ISWC) (2015).
     
  • Fähnrich, C., Schapranow, M.-P., Plattner, H.: Facing the Genome Data Deluge: Efficiently Identifying Genetic Variants with In-Memory Database Technology. Proceedings of the ACM Symposium on Applied Computing (2015).
     
  • Meyer, C., Boissier, M., Michaud, A., Vollmer, J.O., Taylor, K., Schwalb, D., Uflacker, M., Roedszus, K.: Dynamic and Transparent Data Tiering for In-Memory Databases in Mixed Workload Environments. International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures - ADMS @ VLDB 2015 (2015).
     
  • Neves, M., Leser, U.: Question answering for biology. Methods. 74, 36-46 (2015).
     
  • Denecke, K., Mall, S., Fähnrich, C., Perscheid, C., Adeoye, O.O., Benzler, J., Claus, H., Kirchner, G., Richter, R., Schapranow, M.-P., Schwarz, N., Reigl, L., Tom-Aba, D., Gidado, S., Waziri, N.E., Uflacker, M., Krause, G., Poggensee, G.: „Surveillance and Outbreak Response Management and Analysis System (SORMAS)“ ermöglicht Kontrolle von Ebola-Infizierten in Westafrika. 10. Jahrestagung der Deutschen Gesellschaft für Epidemiologie (DGEpi) (2015).
     
  • Schwalb, D., Berning, T., Faust, M., Dreseler, M., Plattner, H.: nvm_malloc: Memory Allocation for NVRAM. International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures (ADMS), in Conjuction with VLDB (2015).
     
  • Neves, M., Leser, U.: Question answering for biology. Methods. 74, 36-46 (2015).
     
  • Kowark, T., Teusner, R., Richly, K., Plattner, H.: RepMine: A System for Transferrable Analyses of Collaboration Activities in Software Engineering. 2015 Workshop on Software Support for Collaborative and Global Software Engineering, In conjunction with the 30th IEEE/ACM International Conference on Automated Software Engineering (2015).
     
  • Neves, M.: HPI question answering system in the BioASQ 2015 challenge. In Working Notes for CLEF 2015 Conference, Toulouse, France (2015).
     
  • Schlosser, R.: A Stochastic Dynamic Pricing and Advertising Model under Risk Aversion. Journal of Revenue and Pricing Management. 14, 451-468 (2015).
     
  • Haeger, F., Kowark, T., Uflacker, M.: Experience and Knowledge Transfer Through Special Topic Coaching Sessions. In: Plattner, H., Meinel, C., and Leifer, L. (eds.) Design Thinking Research - Making Design Thinking Foundational. pp. 187-201 (2015).
     
  • Schlosser, R.: A Stochastic Dynamic Pricing and Advertising Model under Risk Aversion. Journal of Revenue and Pricing Management. 14, 451-468 (2015).
     
  • Treffer, A.: Time-travel Queries for Omniscient Database Debuggers. Proceedings of the 9th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering. Hasso-Plattner-Institut, Potsdam, Germany (2015).
     
  • Schapranow, M.-P., Kraus, M., Perscheid, C., Bock, C., Liedtke, F., Plattner, H.: The Medical Knowledge Cockpit: Real-time Analysis of Big Medical Data Enabling Precision Medicine. Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM). pp. 770-775 (2015).
     
  • Fähnrich, C., Denecke, K., Adeoye, O., Benzler, J., Claus, H., Kirchner, G., Mall, S., Richter, R., Schapranow, M.-P., Schwarz, N.G., Tom-Aba, D., Uflacker, M., Poggensee, G., Krause, G.: Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa. Euro Surveillance. (2015).
     
  • Fähnrich, C., Denecke, K., Adeoye, O., Benzler, J., Claus, H., Kirchner, G., Mall, S., Richter, R., Schapranow, M.-P., Schwarz, N.G., Tom-Aba, D., Uflacker, M., Poggensee, G., Krause, G.: Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa. Euro Surveillance. (2015).
     
  • Treffer, A.: Time-travel Queries for Omniscient Database Debuggers. Proceedings of the 9th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering. Hasso-Plattner-Institut, Potsdam, Germany (2015).
     
  • Plattner, H., Uflacker, M.: Eine Neue Welt. ManagementKompass In-Memory Analytics, Frankfurt Business Media. 15-19 (2015).
     
  • Schwalb, D., BK, G., Faust, M., S, A., Dreseler, M., Hohl, A., Berning, T., Makkar, G., Deshmukh, P.: Using non-volatile RAM for inherent persistence and fast recovery of an in-memory database. ACM Symposium on Cloud Computing (SoCC) (2015).
     
  • Schlosser, R.: Dynamic Pricing with Time-Dependent Elasticities. Journal of Revenue and Pricing Management. 14, 365-383 (2015).
     
  • Meyer, C., Boissier, M., Michaud, A., Vollmer, J.O., Taylor, K., Schwalb, D., Uflacker, M., Roedszus, K.: Dynamic and Transparent Data Tiering for In-Memory Databases in Mixed Workload Environments. International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures - ADMS @ VLDB 2015 (2015).
     
  • Denecke, K., Mall, S., Fähnrich, C., Perscheid, C., Adeoye, O.O., Benzler, J., Claus, H., Kirchner, G., Richter, R., Schapranow, M.-P., Schwarz, N., Reigl, L., Tom-Aba, D., Gidado, S., Waziri, N.E., Uflacker, M., Krause, G., Poggensee, G.: „Surveillance and Outbreak Response Management and Analysis System (SORMAS)“ ermöglicht Kontrolle von Ebola-Infizierten in Westafrika. 10. Jahrestagung der Deutschen Gesellschaft für Epidemiologie (DGEpi) (2015).
     
  • Fähnrich, C., Schapranow, M.-P., Plattner, H.: Facing the Genome Data Deluge: Efficiently Identifying Genetic Variants with In-Memory Database Technology. Proceedings of the ACM Symposium on Applied Computing (2015).
     
  • Fähnrich, C., Denecke, K., Adeoye, O., Benzler, J., Claus, H., Kirchner, G., Mall, S., Richter, R., Schapranow, M.-P., Schwarz, N.G., Tom-Aba, D., Uflacker, M., Poggensee, G., Krause, G.: Surveillance and Outbreak Response Management System (SORMAS) to support the control of the Ebola virus disease outbreak in West Africa. Euro Surveillance. (2015).
     

2014

  • Mueller, S., Butzmann, L., Plattner, H.: Efficient Aggregate Cache Revalidation in an In-Memory Column Store. The Sixth International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA), Chamonix, France (2014).
     
  • Haeger, F., Schapranow, M.-P., Fähnrich, C., Ziegler, E., Plattner, H.: In-Memory Computing Enabling Real-time Genome Data Analysis. International Journal on Advances in Life Sciences, Vol 6, Nr 1-2. (2014).
     
  • Alsubaiee, S., Behm, A., Borkar, V., Heilbron, Z., Kim, Y.-S., Carey, M.J., Dreseler, M., Li, C.: Storage Management in AsterixDB. Proceedings of the VLDB Endowment (2014).
     
  • Kowark, T., Plattner, H.: Collective, Incremental Ontology Alignment Through Query Translation. The 8th International Conference On Web Reasoning And Rule Systems, Athens, Greece (2014).
     
  • Schapranow, M.-P., Plattner, H.: High-Performance In-Memory Genome Data Analysis: How In-Memory Database Technology Accelerates Personalized Medicine. Springer (2014).
     
  • Teusner, R., Perscheid, M., Appeltauer, M., Enderlein, J., Klingbeil, T., Kusber, M.: PopulAid: In-Memory Data Generation for Customized Benchmarks. Workshop on Big Data Benchmarking (WBDB) (2014).
     
  • Schaffner, J.: Workload Management and Data Placement. Springer International Publishing (2014).
     
  • Haeger, F., Schapranow, M.-P., Fähnrich, C., Ziegler, E., Plattner, H.: In-Memory Computing Enabling Real-time Genome Data Analysis. International Journal on Advances in Life Sciences, Vol 6, Nr 1-2. (2014).
     
  • Tinnefeld, C., Taschik, D., Plattner, H.: Quantifying the Elasticity of a Database Management System. The 6th International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA) (2014).
     
  • Herbst, K., Fähnrich, C., Neves, M., Schapranow, M.-P.: Applying In-Memory Technology for Automatic Template Filling in the Clinical Domain. CLEF 2014 Evaluation Labs and Workshop, Online Working Notes (2014).
     
  • Schapranow, M.-P., Klinghammer, K., Fähnrich, C., Plattner, H.: An Optimized Research Process for Real-time Drug Response Analysis. The Third International Conference on Global Health Challenges (2014).
     
  • Bog, A.: The Creation of a Mixed Workload Benchmark and its Application. Springer-Verlag Berlin Heidelberg (2014).
     
  • Haeger, F., Kowark, T., Krüger, J., Vetterli, C., Übernickel, F., Uflacker, M.: DT@Scrum: Integrating Design Thinking with Software Development Processes. Understanding Innovation - Building Innovators (2014).
     
  • Haeger, F., Kowark, T., Krüger, J., Vetterli, C., Übernickel, F., Uflacker, M.: DT@Scrum: Integrating Design Thinking with Software Development Processes. Understanding Innovation - Building Innovators (2014).
     
  • Schapranow, M.-P., Plattner, H.: High-Performance In-Memory Genome Data Analysis: How In-Memory Database Technology Accelerates Personalized Medicine. Springer (2014).
     
  • Mueller, S., Butzmann, L., Klauck, S., Plattner, H.: Materialized View Maintenance Leveraging In-Memory Data Structures. International Journal On Advances in Software, vol. 7, no. 3&4. (2014).
     
  • Mueller, S., Diestelkämper, R., Plattner, H.: Cache Management for Aggregates in Columnar In-Memory Databases. The Sixth International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA), Chamonix, France (2014).
     
  • Treffer, A., Uflacker, M.: Dynamic Slicing with Soot. Proceedings of the 3rd ACM SIGPLAN International Workshop on the State of the Art in Java Program Analysis. pp. 1-6. ACM, New York, NY, USA (2014).
     
  • Neves, M., Herbst, K., Uflacker, M., Plattner, H.: Preliminary evaluation of passage retrieval in biomedical multilingual question answering. BioTxtM 2014, Fourth Workshop on Building and Evaluating Resources for Health and Biomedical Text Processing (2014).
     
  • Schapranow, M.-P., Plattner, H.: High-Performance In-Memory Genome Data Analysis: How In-Memory Database Technology Accelerates Personalized Medicine. Springer (2014).
     
  • Fähnrich, C., Schapranow, M.-P., Plattner, H.: Towards Integrating the Detection of Genetic Variants into an In-Memory Database. Proceedings of the International Conference on Big Data (2014).
     
  • Kowark, T., Plattner, H.: Collective, Incremental Ontology Alignment Through Query Translation. The 8th International Conference On Web Reasoning And Rule Systems, Athens, Greece (2014).
     
  • Schapranow, M.-P., Klinghammer, K., Fähnrich, C., Plattner, H.: An Optimized Research Process for Real-time Drug Response Analysis. The Third International Conference on Global Health Challenges (2014).
     
  • Wust, J., Grund, M., Hoewelmeyer, K., Schwalb, D., Plattner, H.: Concurrent Execution of Mixed Enterprise Workloads on In-Memory Databases. The 19th International Conference on Database System for Advanced Applications (DASFAA), Bali, Indonesia (2014).
     
  • Mueller, S., Butzmann, L., Klauck, S., Plattner, H.: An Adaptive Aggregate Maintenance Approach for Mixed Workloads in Columnar In-Memory Databases. Proceedings of the Thirty-Seventh Australasian Computer Science Conference (ACSC '14) - Volume 147. pp. 3-12 (2014).
     
  • Neves, M., Herbst, K., Uflacker, M., Plattner, H.: Preliminary evaluation of passage retrieval in biomedical multilingual question answering. BioTxtM 2014, Fourth Workshop on Building and Evaluating Resources for Health and Biomedical Text Processing (2014).
     
  • Schaffner, J.: Workload Management and Data Placement. Springer International Publishing (2014).
     
  • Mueller, S., Diestelkämper, R., Plattner, H.: Cache Management for Aggregates in Columnar In-Memory Databases. The Sixth International Conference on Advances in Databases, Knowledge, and Data Applications (DBKDA), Chamonix, France (2014).
     
  • Schapranow, M.-P., Klinghammer, K., Fähnrich, C., Plattner, H.: An Optimized Research Process for Real-time Drug Response Analysis. The Third International Conference on Global Health Challenges (2014).
     
  • Schwalb, D., Faust, M., Wust, J., Grund, M., Plattner, H.: Efficient Transaction Processing for Hyrise in Mixed Workload Environments. IMDM in conjunction with VLDB (2014).
     
  • Kowark, T., Plattner, H.: One Query at a Time: Incremental, Collective Ontology Matching. The 9th International Workshop on Ontology Matching, In Conjunction with the 13th International Semantic Web Conference (ISWC), Riva del Garda, Trentino, Italy (2014).
     
  • Schwalb, D., Faust, M., Krüger, J., Plattner, H.: Leveraging In-Memory Technology for Interactive Analyses of Point-of-Sales Data. BDCA in conjunction with ICDE 2014 (2014).
     
  • Haeger, F., Schapranow, M.-P., Fähnrich, C., Ziegler, E., Plattner, H.: In-Memory Computing Enabling Real-time Genome Data Analysis. International Journal on Advances in Life Sciences, Vol 6, Nr 1-2. (2014).
     
  • Bog, A.: The Creation of a Mixed Workload Benchmark and its Application. Springer-Verlag Berlin Heidelberg (2014).
     
  • Fähnrich, C., Schapranow, M.-P., Plattner, H.: Towards Integrating the Detection of Genetic Variants into an In-Memory Database. Proceedings of the International Conference on Big Data (2014).
     
  • Herbst, K., Fähnrich, C., Neves, M., Schapranow, M.-P.: Applying In-Memory Technology for Automatic Template Filling in the Clinical Domain. CLEF 2014 Evaluation Labs and Workshop, Online Working Notes (2014).
     
  • Schwalb, D., Faust, M., Krüger, J., Plattner, H.: Leveraging In-Memory Technology for Interactive Analyses of Point-of-Sales Data. BDCA in conjunction with ICDE 2014 (2014).
     
  • Teusner, R., Perscheid, M., Appeltauer, M., Enderlein, J., Klingbeil, T., Kusber, M.: PopulAid: In-Memory Data Generation for Customized Benchmarks. Workshop on Big Data Benchmarking (WBDB) (2014).
     
  • Boissier, M., Krüger, J., Wust, J., Plattner, H.: An Integrated Data Management for Enterprise Systems. ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems. pp. 410-418 (2014).
     
  • Mueller, S., Butzmann, L., Klauck, S., Plattner, H.: Materialized View Maintenance Leveraging In-Memory Data Structures. International Journal On Advances in Software, vol. 7, no. 3&4. (2014).
     
  • Alsubaiee, S., Behm, A., Borkar, V., Heilbron, Z., Kim, Y.-S., Carey, M.J., Dreseler, M., Li, C.: Storage Management in AsterixDB. Proceedings of the VLDB Endowment (2014).
     
  • Schapranow, M.-P., Klinghammer, K., Fähnrich, C., Plattner, H.: In-Memory Technology Enables Interactive Drug Response Analysis. 16th International Conference on e-Health Networking, Applications and Services (Healthcom 2014) (2014).
     
  • Boissier, M., Krüger, J., Wust, J., Plattner, H.: An Integrated Data Management for Enterprise Systems. ICEIS 2014 - Proceedings of the 16th International Conference on Enterprise Information Systems. pp. 410-418 (2014).
     
  • Schwalb, D., Faust, M., Wust, J., Grund, M., Plattner, H.: Efficient Transaction Processing for Hyrise in Mixed Workload Environments. IMDM in conjunction with VLDB (2014).
     

2013

  • Tinnefeld, C., Taschik, D., Plattner, H.: Providing High-Availability and Elasticity for an In-Memory Database System with RAMCloud. 1st International Workshop on In-Memory Data Management and Analytics (2013).
     
  • Schapranow, M.-P., Plattner, H., Meinel, C.: Applied In-Memory Technology for High-Throughput Genome Data Processing and Real-time Analysis. System on Chip (!SoC) Devices in Telemedicine from !LABoC to High Resolution Images, pp. 35-42 (2013).
     
  • Grünewald, F., Mazandarani, E., Meinel, C., Teusner, R., Totschnig, M., Willems, C.: openHPI - a Case-Study on the Emergence of two Learning Communities. EDUCON (2013).
     
  • Haeger, F., Plattner, H., Schapranow, M.-P.: High-Performance In-Memory Genome Project: A Platform for Integrated Real-Time Genome Data Analysis. Proceedings of the 2nd International Conference on Global Health Challenges. pp. 5-10 (2013).
     
  • Schapranow, M.-P.: Real-time Security Extensions for EPCglobal Networks: Case Study for the Pharmaceutical Industry. In-Memory Data Management Research, Springer (2013).
     
  • Schapranow, M.-P., Plattner, H.: HIG – An In-memory Database Platform Enabling Real-time Analyses of Genome Data. Proceedings of the International Conference on Big Data. pp. 691-696 (2013).
     
  • Januschowski, T., Kolassa, S., Lorenz, M., Schwarz, C.: Forecasting With In-Memory Technology. Foresight, The International Journal of Applied Forecasting. (2013).
     
  • Schapranow, M.-P., Plattner, H., Meinel, C.: Applied In-Memory Technology for High-Throughput Genome Data Processing and Real-time Analysis. System on Chip (!SoC) Devices in Telemedicine from !LABoC to High Resolution Images, pp. 35-42 (2013).
     
  • Schapranow, M.-P.: Krebsdatenbank auf Tablet und Smartphone. Best Practice Wireless in der Hauptstadtregion Berlin-Brandenburg, pp. 48-49 (2013).
     
  • Wust, J., Plattner, H., Grund, M.: Dynamic Query Prioritization for In-Memory Databases. 1st International Workshop on In-Memory Data Management and Analytics (IMDM), in conjunction with VLDB 2013, Riva del Garda, Trento, Italy (2013).
     
  • Faust, M., Schwalb, D., Krüger, J.: Storage schemas for mixed workload in-memory column-oriented databases. CICCI (2013).
     
  • Schapranow, M.-P., Plattner, H.: In-Memory Technology Enables History-Based Access Control for RFID-Aided Supply Chains. The Secure Information Society: Ethical, Legal and Political Challenges, pp. 187-213 (2013).
     
  • Grund, M., Cudre-Mauroux, P., Krüger, J., Plattner, H.: Hybrid Graph and Relational Query Processing in Main Memory. DESWEB (in conjunction with ICDE) (2013).
     
  • Schwalb, D., Faust, M., Krüger, J.: A Workload-Aware Merge Process for In-Memory Column Stores. CICCI (2013).
     
  • Schaffner, J., Januschowski, T.: Realistic Tenant Traces for Enterprise !DBaaS. 8th International Workshop on Self-Managing Database Systems (SMDB 2013) (2013).
     
  • Pape, T., Treffer, A.: Extending a Java Virtual Machine to Dynamic Object-oriented Languages. (2013).
     
  • Schapranow, M.-P.: Krebsdatenbank auf Tablet und Smartphone. Best Practice Wireless in der Hauptstadtregion Berlin-Brandenburg, pp. 48-49 (2013).
     
  • Tinnefeld, C., Kossmann, D., Grund, M., Boese, J.-H., Renkes, F., Sikka, V., Plattner, H.: Elastic Online Analytical Processing on RAMCloud. EDBT (2013).
     
  • Schapranow, M.-P., Meinel, C., Plattner, H.: Big Data soll Genom-Analysen schneller voranbringen. Krankenhaus-IT Journal, p. 26. (2013).
     
  • Schapranow, M.-P., Meinel, C., Plattner, H.: Applied In-Memory Technology to High Throughput Genome Data Processing. Proceedings of XXI Winter Course of the CATAI (CATAI 2013). pp. 35-42. , Canary Islands, Spain (2013).
     
  • Schapranow, M.-P., Meinel, C., Plattner, H.: Big Data soll Genom-Analysen schneller voranbringen. Krankenhaus-IT Journal, p. 26. (2013).
     
  • Schwalb, D., Faust, M., Krüger, J.: A Workload-Aware Merge Process for In-Memory Column Stores. CICCI (2013).
     
  • Kowark, T., Haeger, F., Gehrer, R., Krüger, J.: A Research Plan for the Integration of Design Thinking with Large Scale Software Development Projects. Design Thinking Research - Building Innovation Eco-Systems (2013).
     
  • Mueller, S., Butzmann, L., Klauck, S., Plattner, H.: Workload-Aware Aggregate Maintenance in Columnar In-Memory Databases. IEEE International Conference on Big Data (IEEE Big Data 2013), Silicon Valley, USA (2013).
     
  • Schapranow, M.-P., Plattner, H., Tosun, C., Regenbrecht, C.: Mobile Real-time Analysis of Patient Data for Advanced Decision Support in Personalized Medicine. The 5th International Conference on eHealth, Telemedicine, and Social Medicine, pp. 129-136 (2013).
     
  • Schapranow, M.-P., Plattner, H.: HIG – An In-memory Database Platform Enabling Real-time Analyses of Genome Data. Proceedings of the International Conference on Big Data. pp. 691-696 (2013).
     
  • Wust, J., Plattner, H., Grund, M.: Dynamic Query Prioritization for In-Memory Databases. 1st International Workshop on In-Memory Data Management and Analytics (IMDM), in conjunction with VLDB 2013, Riva del Garda, Trento, Italy (2013).
     
  • Schapranow, M.-P., Plattner, H., Tosun, C., Regenbrecht, C.: Mobile Real-time Analysis of Patient Data for Advanced Decision Support in Personalized Medicine. The 5th International Conference on eHealth, Telemedicine, and Social Medicine, pp. 129-136 (2013).
     
  • Faust, M., Schwalb, D., Krüger, J.: Fast Column Scans: Paged Indices for In-Memory Column Stores. IMDM (2013).
     
  • Januschowski, T., Kolassa, S., Lorenz, M., Schwarz, C.: Forecasting With In-Memory Technology. Foresight, The International Journal of Applied Forecasting. (2013).
     
  • Faust, M., Schwalb, D., Krüger, J.: Fast Column Scans: Paged Indices for In-Memory Column Stores. IMDM (2013).
     
  • Kowark, T.: Applications of Virtual Collaboration Monitoring in Software Development Projects. Proceedings of the 7th Retreat of the HPI Research School on Service-oriented Systems Engineering (to appear) (2013).
     
  • Schapranow, M.-P., Plattner, H., Meinel, C.: Applied In-Memory Technology for High-Throughput Genome Data Processing and Real-time Analysis. System on Chip (!SoC) Devices in Telemedicine from !LABoC to High Resolution Images, pp. 35-42 (2013).
     
  • Haeger, F., Plattner, H., Schapranow, M.-P.: High-Performance In-Memory Genome Project: A Platform for Integrated Real-Time Genome Data Analysis. Proceedings of the 2nd International Conference on Global Health Challenges. pp. 5-10 (2013).
     
  • Schapranow, M.-P.: Krebsdatenbank auf Tablet und Smartphone. Best Practice Wireless in der Hauptstadtregion Berlin-Brandenburg, pp. 48-49 (2013).
     
  • Schaffner, J., Januschowski, T.: Realistic Tenant Traces for Enterprise !DBaaS. 8th International Workshop on Self-Managing Database Systems (SMDB 2013) (2013).
     
  • Schapranow, M.-P., Plattner, H., Tosun, C., Regenbrecht, C.: Mobile Real-time Analysis of Patient Data for Advanced Decision Support in Personalized Medicine. The 5th International Conference on eHealth, Telemedicine, and Social Medicine, pp. 129-136 (2013).
     
  • Grünewald, F., Mazandarani, E., Meinel, C., Teusner, R., Totschnig, M., Willems, C.: openHPI - a Case-Study on the Emergence of two Learning Communities. EDUCON (2013).
     
  • Teusner, R., Gabrysiak, G., Richter, S., Kleff, S.: Interactive Strategy-Based Validation of Behavioral Models. GTVMT (2013).
     
  • Schaffner, J., Januschowski, T., Kercher, M., Kraska, T., Plattner, H., Franklin, M., Jacobs, D.: RTP: Robust Tenant Placement for Elastic In-Memory Database Clusters. ACM SIGMOD Conference (2013).
     
  • Kowark, T.: Applications of Virtual Collaboration Monitoring in Software Development Projects. Proceedings of the 7th Retreat of the HPI Research School on Service-oriented Systems Engineering (to appear) (2013).
     
  • Mueller, S., Plattner, H.: Aggregates Caching in Columnar In-Memory Databases. 1st International Workshop on In-Memory Data Management and Analytics (IMDM), in conjunction with VLDB 2013, Riva del Garda, Trento, Italy (2013).
     
  • Schapranow, M.-P., Plattner, H.: HIG – An In-memory Database Platform Enabling Real-time Analyses of Genome Data. Proceedings of the International Conference on Big Data. pp. 691-696 (2013).
     
  • Helmes, K., Schlosser, R., Weber, M.: Dynamic Advertising and Pricing in a Class of General New-Product Adoption Models. European Journal of Operational Research. 229, 433-443 (2013).
     
  • Faust, M., Schwalb, D., Krüger, J.: Storage schemas for mixed workload in-memory column-oriented databases. CICCI (2013).
     
  • Grund, M., Cudre-Mauroux, P., Krüger, J., Plattner, H.: Hybrid Graph and Relational Query Processing in Main Memory. DESWEB (in conjunction with ICDE) (2013).
     
  • Wust, J., Grund, M., Plattner, H.: TAMEX: A Task-Based Query Execution Framework for Mixed Enterprise Workloads on In-Memory Databases. IMDM, INFORMATIK 2013 (2013).
     
  • Pape, T., Treffer, A.: Extending a Java Virtual Machine to Dynamic Object-oriented Languages. (2013).
     
  • Tinnefeld, C., Kossmann, D., Grund, M., Boese, J.-H., Renkes, F., Sikka, V., Plattner, H.: Elastic Online Analytical Processing on RAMCloud. EDBT (2013).
     
  • Schapranow, M.-P., Meinel, C., Plattner, H.: Big Data soll Genom-Analysen schneller voranbringen. Krankenhaus-IT Journal, p. 26. (2013).
     
  • Kowark, T., Haeger, F., Gehrer, R., Krüger, J.: A Research Plan for the Integration of Design Thinking with Large Scale Software Development Projects. Design Thinking Research - Building Innovation Eco-Systems (2013).
     
  • Vetterli, C., Übernickel, F., Brenner, W., Haeger, F., Kowark, T., Krüger, J., Müller, J., Plattner, H., Stortz, B., Sikka, V.: Jumpstarting Scrum with Design Thinking. Electronic Colloquium on Design Thinking Research (2013).
     
  • Mueller, S., Butzmann, L., Klauck, S., Plattner, H.: Workload-Aware Aggregate Maintenance in Columnar In-Memory Databases. IEEE International Conference on Big Data (IEEE Big Data 2013), Silicon Valley, USA (2013).
     
  • Mueller, S., Plattner, H.: Aggregates Caching in Columnar In-Memory Databases. 1st International Workshop on In-Memory Data Management and Analytics (IMDM), in conjunction with VLDB 2013, Riva del Garda, Trento, Italy (2013).
     

2012

  • Schaffner, J., Jacobs, D., Kraska, T., Plattner, H.: The Multi-Tenant Data Placement Problem. The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications (2012).
     
  • Wust, J., Krüger, J., Grund, M., Hartmann, U., Plattner, H.: Sparse Dictionaries for In-Memory Column Stores. Proceedings of the DBKDA 2012, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications. pp. 25 - 33 (2012).
     
  • Richly, K., Bross, J., Kohnen, M., Meinel, C.: Identifying the top-dogs of the blogosphere. Social Network Analysis and Mining. (2012).
     
  • Tinnefeld, C., Wagner, B., Plattner, H.: Operating on Hierarchical Enterprise Data in an In-Memory Column Store. Proceedings of the DBKDA 2012, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications. pp. 58 - 63 (2012).
     
  • Tinnefeld, C., Wagner, B., Plattner, H.: Operating on Hierarchical Enterprise Data in an In-Memory Column Store. Proceedings of the DBKDA 2012, The Fourth International Conference on Advances in Databases, Knowledge, and Data Applications. pp. 58 - 63 (2012).
     
  • Richly, K., Bross, J., Kohnen, M., Meinel, C.: Identifying the top-dogs of the blogosphere. Social Network Analysis and Mining. (2012).
     
  • Plattner, H., Meinel, C., Schapranow, M.-P.: Blitzschnelle Datenanalysen für die personalisierte Medizin der Zukunft – Interdisziplinäre Impulse aus Potsdam und Berlin. Themenbroschüre 2012 Gesundheitsstandort Berlin-Brandenburg. (2012).
     
  • Müller, J., Schapranow, M.-P., Zeier, A., Plattner, H.: Secure RFID-Enablement in Modern Companies: A Case Study of the Pharmaceutical Industry. Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions, pp. 507-539, IGI Global (2012).
     
  • Wust, J., Boese, J.-H., Renkes, F., Blessing, S., Krüger, J., Plattner, H.: Efficient Logging for Enterprise Workloads on Column-Oriented In-Memory Databases. Proceedings of the 21st ACM international conference on Information and knowledge management (CIKM '12) (2012).
     
  • Treffer, A.: Understanding Code with Execution Traces. Proceedings of the 6th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering. Hasso-Plattner-Institut, Potsdam, Germany (2012).
     
  • Kowark, T.: Sharing Abstracted Subgraphs of Team Collaboration Networks. Proceedings of the 6th Ph.D. Retreat of the HPI Research School on Service-oriented Systems Engineering (2012).
     
  • Krüger, J., Johannsen, A.: Hauptspeicherdatenbanken für Unternehmensanwendungen. 11. Berlin-Brandenburger SAP-Forum. (2012).
     
  • Kowark, T., Dobrigkeit, P., Zeier, A.: Towards a Shared Repository for Patterns in Virtual Team Collaboration. Design Thinking Research: Measuring Performance in Context (Understanding Innovation) (2012).
     
  • Treffer, A.: Understanding Code with Execution Traces. Proceedings of the 6th Ph. D. Retreat of the HPI Research School on Service-oriented Systems Engineering. Hasso-Plattner-Institut, Potsdam, Germany (2012).
     
  • Schapranow, M.-P., Meinel, C., Plattner, H.: Datenbanktechnologie beflügelt personalisierte Medizin. Laborwelt Nr. 4/2012, 13. Jahrgang. (2012).
     
  • Plattner, H., Zeier, A.: In-Memory Data Management - Technology and Applications. Springer (2012).
     
  • Mueller, S., Plattner, H.: An In-Depth Analysis of Data Aggregation Cost Factors in a Columnar In-Memory Database. ACM Fifteenth International Workshop On Data Warehousing and OLAP colocated with ACM CIKM, Maui (HI), USA (2012).
     
  • Plattner, H., Zeier, A.: In-Memory Data Management - Technology and Applications. Springer (2012).
     
  • Folkerts, E., Heimburger, R., Simchi-Levi, D., Youssef, N., Schwarz, C., Lorenz, M., Januschowski, T., Akkas, A.: Demand Forecasting with partial POS Data using In-Memory Technology. 32nd International Symposium on Forecasting in Boston (2012).
     
  • Faust, M., Krüger, J., Schwalb, D., Plattner, H.: Fast Lookups for In-Memory Column Stores: Group-Key Indices, Lookup and Maintenance. ADMS (in conjunction with VLDB) (2012).
     
  • Grund, M., Cudre-Mauroux, P., Krüger, J., Madden, S., Plattner, H.: An overview of HYRISE - a Main Memory Hybrid Storage Engine. IEEE Data Engineering Bulletin. (2012).
     
  • Müller, J., Schapranow, M.-P., Zeier, A., Plattner, H.: Secure RFID-Enablement in Modern Companies: A Case Study of the Pharmaceutical Industry. Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions, pp. 507-539, IGI Global (2012).
     
  • Bog, A., Sachs, K., Plattner, H.: Interactive Performance Monitoring of a Composite OLTP & OLAP Workload. Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data. pp. 645-648 (2012).
     
  • Schapranow, M.-P., Meinel, C., Plattner, H.: Datenbanktechnologie beflügelt personalisierte Medizin. Laborwelt Nr. 4/2012, 13. Jahrgang. (2012).
     
  • Mueller, S., Plattner, H.: An In-Depth Analysis of Data Aggregation Cost Factors in a Columnar In-Memory Database. ACM Fifteenth International Workshop On Data Warehousing and OLAP colocated with ACM CIKM, Maui (HI), USA (2012).
     
  • Folkerts, E., Heimburger, R., Simchi-Levi, D., Youssef, N., Schwarz, C., Lorenz, M., Januschowski, T., Akkas, A.: Demand Forecasting with partial POS Data using In-Memory Technology. 32nd International Symposium on Forecasting in Boston (2012).
     
  • Bog, A., Sachs, K., Plattner, H.: Interactive Performance Monitoring of a Composite OLTP & OLAP Workload. Proceedings of the 2012 ACM SIGMOD International Conference on Management of Data. pp. 645-648 (2012).
     
  • Plattner, H., Meinel, C., Schapranow, M.-P.: Blitzschnelle Datenanalysen für die personalisierte Medizin der Zukunft – Interdisziplinäre Impulse aus Potsdam und Berlin. Themenbroschüre 2012 Gesundheitsstandort Berlin-Brandenburg. (2012).
     
  • Faust, M., Krüger, J., Schwalb, D., Plattner, H.: Fast Lookups for In-Memory Column Stores: Group-Key Indices, Lookup and Maintenance. ADMS (in conjunction with VLDB) (2012).
     
  • Müller, J., Schapranow, M.-P., Zeier, A., Plattner, H.: Secure RFID-Enablement in Modern Companies: A Case Study of the Pharmaceutical Industry. Handbook of Research on Industrial Informatics and Manufacturing Intelligence: Innovations and Solutions, pp. 507-539, IGI Global (2012).
     

2011

  • Krüger, J., Grund, M., Jaeckel, I., Zeier, A., Plattner, H.: Applicability of GPU Computing for Efficient Merge in In-Memory Databases. Second International Workshop on Accelerating Data Management Systems Using Modern Processor and Storage Architectures (In conjunction with Very Large Data Bases, VLDB) (2011).
     
  • Grund, M., Cudre-Mauroux, P., Madden, S.: A Demonstration of HYRISE- A Main Memory Hybrid Storage Engine. VLDB (2011).
     
  • Krüger, J., Grund, M., Zeier, A., Plattner, H.: An Architecture-Aware Compaction Process. Proceedings of the Fall 2010 Future SOC Lab Day (2011).
     
  • Bog, A., Sachs, K., Zeier, A.: Benchmarking Database Design for Mixed OLTP and OLAP Workloads. Proceeding of the second joint WOSP/SIPEW international conference on Performance engineering (2011).
     
  • Lehner, W., Kossmann, D., Fabian, B., Günther, O., Winter, R., Loos, P., Lechtenbörger, J., Vossen, G., Zeier, A., Krüger, J., Müller, J.: In-Memory-Datenmanagement in betrieblichen Anwendungssystemen. Wirtschaftsinformatik 6. (2011).
     
  • Kowark, T.: A Shared Platform for the Analysis of Virtual Team Collaboration. Proceedings of the 5th Ph.D. Retreat of the HPI Research School on Service-oriented Systems Engineering (2011).
     
  • Lorenz, M., Müller, J., Schapranow, M.-P., Zeier, A.: A Distributed EPC Discovery Service based on Peer-to-peer Technology. Proceedings of the RFID SysTech 2011, 7th European Workshop on Smart Objects: Systems, Technologies and Applications, Dresden. pp. 1 - 7. VDE (2011).
     
  • Borovskiy, V., Schwarz, C., Koch, W., Zeier, A.: Semantically Rich API for In-database Data Manipulation in Main-Memory ERP Systems. 13th International Conference on Enterprise Information Systems (2011).
     
  • Mueller, S., Eickhoff, D., Zeier, A., Plattner, H.: Application-Aware Aggregations in a Columnar In-Memory Database. ICMIA, The 3rd International Conference on Data Mining and Intelligent Information Technnology, Macau, China (2011).
     
  • Zeier, A., Jacobs, D., Schwarz, C., Eckart, B., Schaffner, J.: Towards Analytics-as-a-Service Using an In-Memory Column Database. Divyakant Agrawal, K. Selçuk Candan, Wen-Syan Li (Eds.): New Frontiers in Information and Software as Services Service and Application Design Challenges in the Cloud, LNBIP Volume 74, pp. 257–282, Springer-Verlag, Berlin Heidelberg (2011).
     
  • Gumienny, R., Gericke, L., Dreseler, M., Meyer, S., Meinel, C.: User-centered Development of Social Collaboration Software. Collaborative Communities for Social Сomputing (CollaborateCom) (2011).
     
  • Lehner, W., Kossmann, D., Fabian, B., Günther, O., Winter, R., Loos, P., Lechtenbörger, J., Vossen, G., Zeier, A., Krüger, J., Müller, J.: In-Memory-Datenmanagement in betrieblichen Anwendungssystemen. Wirtschaftsinformatik 6. (2011).
     
  • Kowark, T., Mueller, J., Mueller, S., Zeier, A.: An Educational Testbed for the Computational Analysis of Collaboration in Early Stages of Software Development Processes. 44th Hawaii International Conference on System Sciences (HICSS), Kauai (HI), USA (2011).
     
  • Zeier, A., Plattner, H., Butzmann, L., Klauck, S., Tinnefeld, C., Mueller, S.: Available-To-Promise on an In-Memory Column Store. Datenbanksysteme in Business, Technologie und Web (BTW 2011), 14. Fachtagung des GI-Fachbereichs "Datenbanken und Informationssysteme" (DBIS), Proceedings, Kaiserslautern, Germany (2011).
     
  • Schapranow, M.-P., Zeier, A., Leupold, F., Schubotz, T.: Securing EPCglobal Object Name Service -- Privacy Enhancements for Anti-counterfeiting. 2nd International Conference on Intelligent Systems, Modeling and Simulation, pp. 332-337 (2011).
     
  • Zeier, A., Plattner, H., Schapranow, M.-P., Müller, J.: Costs of Authentic Pharmaceuticals: Research on Qualitative and Quantitative Aspects of Enabling Anti-counterfeiting in RFID-aided Supply Chains. Personal and Ubiquitous Computing, Volume 16, Issue 3. 271-289 (2011).
     
  • Hübner, F., Boese, J.-H., Krüger, J., Renkes, F., Tosun, C., Zeier, A., Plattner, H.: A Cost-Aware Strategy for Merging Differential Stores in Column-Oriented In-Memory DBMS. BIRTE - in conjunction with VLDB'11 (2011).
     
  • Grund, M., Krüger, J., Plattner, H., Zeier, A., Cudre-Mauroux, P., Madden, S.: