Milena Kraus

Research Assistant, PhD Candidate

	Phone:	+49 (331) 5509-1366
	Fax:	+49 (331) 5509-579
	Email:	milena.kraus(at)hpi.de
	Room:	Campus III, Room G2.2.16
	LinkedIn:

Research Topics

Systems Medicine
In-Memory Technology for Life Sciences

Projects

SMART - Systems Medicine of Heart Failure

Publications

Hesse, G., Matthies, C., Perscheid, M., Uflacker, M., Plattner, H.: ESPBench: The Enterprise Stream Processing Benchmark.ACM/SPEC Internation Conference on Performance Engineering (ICPE). bll. 201–212 (2021).
[ BibTeX ]

@inproceedings{hesse2021espbench, abstract = {Growing data volumes and velocities in fields such as Industry 4.0 or the Internet of Things have led to the increased popularity of data stream processing systems. Enterprises can leverage these developments by enriching their core business data and analyses with up-to-date streaming data. Comparing streaming architectures for these complex use cases is challenging, as existing benchmarks do not cover them. ESPBench is a new enterprise stream processing benchmark that fills this gap. We present its architecture, the benchmarking process, and the query workload. We employ ESPBench on three state-of-the-art stream processing systems, Apache Spark, Apache Flink, and Hazelcast Jet, using provided query implementations developed with Apache Beam. Our results highlight the need for the provided ESPBench toolkit that supports benchmark execution, as it enables query result validation and objective latency measures.}, author = {Hesse, Guenter and Matthies, Christoph and Perscheid, Michael and Uflacker, Matthias and Plattner, Hasso}, booktitle = {ACM/SPEC Internation Conference on Performance Engineering (ICPE)}, keywords = {imported benchmarking}, pages = {201–212}, title = {ESPBench: The Enterprise Stream Processing Benchmark}, year = 2021 }
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).
[ BibTeX ]

@inproceedings{perscheid2018tissueaware, author = {Perscheid, Cindy and Faber, Lukas and Kraus, Milena and Arndt, Paul and Janke, Michael and Rehfeldt, Sebastian and Schubotz, Antje and Slosarek, Tamara and Uflacker, Matthias}, booktitle = {The 9th Workshop on Integrative Data Analysis in Systems Biology (IDASB), IEEE International Conference on Bioinformatics and Biomedicine (BIBM)}, keywords = {cp}, title = {A Tissue-aware Gene Selection Approach for Analyzing Multi-tissue Gene Expression Data}, year = 2018 }
Hesse, G., Reissaus, B., Matthies, C., Lorenz, M., Kraus, M., Uflacker, M.: Senska - Towards an Enterprise Streaming Benchmark.TPC Technology Conference (TPCTC). bll. 25-40. , Cham (2018).
[ BibTeX ]

@inproceedings{hesse2018senska, abstract = {In the light of growing data volumes and continuing digitization in fields such as Industry 4.0 or Internet of Things, data stream processing have gained popularity and importance. Especially enterprises can benefit from this development by augmenting their vital, core business data with up-to-date streaming information. Enriching this transactional data with detailed information from high-frequency data streams allows answering new analytical questions as well as improving current analyses, e.g., regarding predictive maintenance. Comparing such data stream processing architectures for use in an enterprise context, i.e., when combining streaming and business data, is currently a challenging task as there is no suitable benchmark.}, address = {Cham}, author = {Hesse, Guenter and Reissaus, Benjamin and Matthies, Christoph and Lorenz, Martin and Kraus, Milena and Uflacker, Matthias}, booktitle = {TPC Technology Conference (TPCTC)}, keywords = {esb benchmarking data_stream_processing senska}, pages = {25-40}, title = {Senska - Towards an Enterprise Streaming Benchmark}, type = {Publication}, year = 2018 }
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).
[ BibTeX ]

@inproceedings{neves2017, author = {Neves, Mariana and Folkerts, Hendrik and Jankrift, Marcel and Niedermeier, Julian and Stachewicz, Toni and Tietböhl, Sören and Kraus, Milena and Uflacker, Matthias}, booktitle = {ACL'17 Demo}, keywords = {in-memory_database nlp question_answering}, title = {Olelo: A Question Answering Application for Biomedicine}, year = 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).
[ BibTeX ]

@article{kraus2017olelo, author = {Kraus, Milena and Niedermeier, Julian and Jankrift, Marcel and Tietboehl, Soeren and Stachewicz, Toni and Folkerts, Hendrik and Uflacker, Matthias and Neves, Mariana}, journal = {Nucleic acids research}, keywords = {in-memory_database}, title = {Olelo: a web application for intuitive exploration of biomedical literature}, year = 2017 }
Kraus, M., Schapranow, M.-P.: An In-Memory Database Platform for Systems Medicine.Proceedings of the International Conference on Bioinformatics and Computational Biology. bl. 93--100. The International Society for Computers and Their Applications (ISCA) (2017).
[ BibTeX ]

@inproceedings{kraus2017inmemory, author = {Kraus, Milena and Schapranow, Matthieu-P.}, booktitle = {Proceedings of the International Conference on Bioinformatics and Computational Biology}, keywords = {in-memory_database SMART}, number = 9, organization = {The International Society for Computers and Their Applications (ISCA)}, pages = {93--100}, title = {An In-Memory Database Platform for Systems Medicine}, year = 2017 }
Schapranow, M.-P., Kraus, M., Danner, M., Plattner, H.: IMDBfs: Bridging the Gap between In-Memory Database Technology and File-Based Tools for Life Sciences.Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine. bl. 1133--1139. IEEE (2016).
[ BibTeX ]

@conference{Matthieu-P.2016a, author = {Schapranow, Matthieu-P. and Kraus, Milena and Danner, Marius and Plattner, Hasso}, booktitle = {Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine}, keywords = {SMART}, organization = {IEEE}, pages = {1133--1139}, title = {IMDBfs: Bridging the Gap between In-Memory Database Technology and File-Based Tools for Life Sciences}, year = 2016 }
Neves, M., Kraus, M.: BioMedLAT Corpus: Annotation of the Lexical Answer Type for Biomedical Questions.OKBQA 2016. bl. 49 (2016).
[ BibTeX ]

@conference{Mariana2016a, author = {Neves, Mariana and Kraus, Milena}, booktitle = {Open Knowledge Base and Question Answering Workshop at the 26th International Conference on Computational Linguistics (Coling)}, howpublished = {Open Knowledge Base and Question Answering Workshop at the 26th International Conference on Computational Linguistics (Coling)}, journal = {OKBQA 2016}, keywords = {imported}, pages = 49, title = {BioMedLAT Corpus: Annotation of the Lexical Answer Type for Biomedical Questions}, year = 2016 }
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). bll. 770-775 (2015).
[ BibTeX ]

@inproceedings{Matthieu2015a, author = {Schapranow, Matthieu-P. and Kraus, Milena and Perscheid, Cindy and Bock, Cornelius and Liedtke, Franz and Plattner, Hasso}, booktitle = {Proceedings of the IEEE International Conference on Bioinformatics and Biomedicine (BIBM)}, keywords = {imported cp}, pages = {770-775}, title = {The Medical Knowledge Cockpit: Real-time Analysis of Big Medical Data Enabling Precision Medicine}, year = 2015 }

Milena Kraus

Research Assistant, PhD Candidate

Research Topics

Projects

Publications

Hasso Plattner Institute for Digital Health at Mount Sinai (HPI·MS)

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