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Shaabani, N., Meinel, C.: Detecting Maximum Inclusion Dependencies without Candidate Generation. Database and Expert Systems Applications: 27th International Conference, DEXA 2016, Porto, Portugal, September 5-8, 2016, Proceedings, Part II. p. 118--133 (2016).
Inclusion dependencies (INDs) within and across databases are an important relationship for many applications in data integration, schema (re-)design, integrity checking, or query optimization. Existing techniques for detecting all INDs need to generate IND candidates and test their validity in the given data instance. However, the major disadvantage of this approach is the exponentially growing number of data accesses in terms of the number of SQL queries as well as I/O operations. We introduce Mind2, a new approach for detecting n-ary INDs (n > 1) without any candidate generation. Mind2 implements a new characterization of the maximum INDs we developed in this paper. This characterization is based on set operations defined on certain metadata that Mind2generates by accessing the database only 2 x the number of valid unary INDs. Thus, Mind2 eliminates the exponential number of data accesses needed by existing approaches. Furthermore, the experiments show that Mind2 is significantly more scalable than hypergraph-based approaches.
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Shaabani, N., Meinel, C.: Scalable Inclusion Dependency Discovery. Proceedings of the 20th International Conference of Database Systems for Advanced Applications (DASFAA2015). pp. 425-440. Springer (2015).
Inclusion dependencies within and across databases are an important relationship for many applications in anomaly detection, schema (re-)design, query optimization or data integration. When such dependencies are not available as explicit metadata, scalable and efficient algorithms have to discover them from a given data instance. We introduce a new idea for clustering the attributes of database relations. Based on this idea we have developed S-indd, an efficient and scalable algorithm for discovering all unary inclusion dependencies in large datasets. S-indd is scalable both in the number of attributes and in the number of rows. We show that previous approaches reveal themselves as special cases of S-indd. We exhaustively evaluate S-indd's scalability using many datasets with several thousands attributes and rows up to one million. The experiments show that S-indd is up to 11x faster than previous approaches.
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Alnemr, R., Meinel, C.: A Discussion of Security Requirements and Issues in Healthcare Information Systems. Proceedings of the 10th International Conference on Healthcom (Healthcom 2008). pp. 345 - 350. IEEE Communications Press, Singapore (2008).
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Meinel, C., Alnemr, R.: Security Issues and Aspects in Healthcare Pervasive Systems. XVI Winter Course CATAI, Tenerife, March 2008, pp. 4 - 9, ISBN: 978-84-612-1364-1. pp. 4 - 9. , Tenerife. Canary Islands. Spain (2008).
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Meinel, C., Quasthoff, M.: Identity Management in Telemedicine - The German Health Insurance Card. , Tenerife, Spain (2007).
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Quasthoff, M., Meinel, C.: User Centricity in Healthcare Infrastructures. Proceedings of International Conference on Special Interest Group on Biometrics and Electronic Signatures (BIOSIG 2007). pp. 141 - 152. GI Press, Darmstadt, Germany (2007).
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Jiang, C., Zhang, X., Meinel, C.: Hybrid Framework for Medical Image Segmentation. Proceedings of the 11th International Conference on Computer Analysis of Images and Patterns (CAIP 2005). pp. 264 - 271. Springer, Paris, France (2005).
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Jiang, C., Zhang, X., Meinel, C.: Medical Image Segmentation Using a Combined Approach. Proceedings of The 2005 International Conference on Computer Vision (VISION 2005). pp. 84-90. CSREA Press, Las Vegas, USA (2005).
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Jiang, C., Zhang, X., Huang, W., Meinel, C.: Segmentation and Quantification of a Brain Tumor. Proceedings of 2004 IEEE Symposium on Virtual Environments, Human-Computer Interfaces and Measurement Systems (VECIMS 2004). pp. 61-66. IEEE Press, Boston/MA, USA (2004).
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Jiang, C., Zhang, X., Gevantmakher, M., Meinel, C.: A New Practical Tool for 3D Medical Image Segmentation, Visualization and Measurement. Proceedings of the IEEE International Conference on Computing, Communications and Control Technologies (CCCT 2004). , Austin, USA (2004).
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Becker, T., Meinel, C.: Security in Telemedicine - Certificates and Digital Identity Cards. Presented at the , La Laguna, Teneriffa (2004).
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L., V., C., J., Ch, M.: Security Requirements for Telemedical Applications regarding DICOM-image-management in a PACS. Europacs 2002 , Oulu Finnland, Niinimäki J., Ilkko E., Reponen I., Oulu University Press (2002).
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Vorwerk, L., Jiang, C., Meinel, C.: Application for Repairing and Presenting DICOM Objects. Proceedings of the 2002 International Conference on Application for Repairing and Presenting DICOM Objects (IMSA 2002). pp. 318-323. DBLP Press, Kauai, Hawaii, USA (2002).
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Vorwerk, L., Jiang, C., Meinel, C.: Secure Transfer of Digital Images and Related Data. Proceedings of the 11th International World Wide Web Conference (WWW 2002). W3C, Hawaii, USA (2002).
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Jiang, C., Vorwerk, L., Meinel, C.: Standardizing DICOM File and Rendering 3-D Medical Image. Proceedings of the 20th EuroPACS annual meeting (EuroPACS 2002). p. 225. Oulu University Press, Oulu, Finland (2002).
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Vorwerk, L., Meinel, C.: A Practical Approach to Store DICOM-conform Presentation of Radiological Images. Proceedings of SPIE Medical Imaging Conference (MedicalImaging 2002). pp. 299-306. SPIE Press, San Diego, USA (2002).
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Jiang, C., Vorwerk, L., Meinel, C.: Deformation and Construction of 3-D Medical Image. Proceedings of International Conference on Diagnostic Imaging and Analysis(ICDIA 2002). pp. 48-53. , Shanghai, China (2002).
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Vorwerk, L., Hludov, S., Meinel, C.: Constructing a Secure HIPACS with Structured Reporting. Proc. WSCG 2000, Plzen (Czech Republic), 2000. , San Diego (USA) (2000).
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Khludov, S., Vorwerk, L., Meinel, C.: Internet-Orientated Medical Information System for DICOM-Data Transfer, Visualization and Revision. Proc. CBMS 2000, Houston (Texas, USA), 2000. pp. 293-296 (2000).
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Vorwerk, L., Meinel, C.: A Multimedia-Editor for Making Findings in Radiology. Proc. CBMS 2000, Houston (Texas, USA), 2000. pp. 297-302. , USA (2000).
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Vorwerk, L., Meinel, C.: Integration of TLS in an Intern/Intranet/based Application. Proc.MEDICOM 2000, Remagen, (Germany), 2000. pp. 143-149. , Perth, Australia (2000).
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Vorwerk, L., Engel, T., Meinel, C.: A Proposal for a Combination of Compression and Encryption. Proc.SPIE Visual Communications and Image Processing, Perth (Australia). pp. 694-702 (2000).
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Vorwerk, L., Hludov, S., Meinel, C.: Concept for Increased Security for Internet/Intranet-Based Administration of Patient Data. Proc. WSCG 2000, Plzen (Czech Republic), 2000 (2000).
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Vorwerk, L., Meinel, C.: Security in Healthcare: An Overview. Proceedings of New Aspects of High Technology in Medicine (secinHealth 2000). pp. 455-458. , Hannover, Germany (2000).
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Meinel, C., Vorwerk, L., Engel, T.: Trustcenter und Multifunktionskarten. Proc.ONLINE 2000, Düsseldorf (Germany), 2000. pp. C410.03 - C410.12.. , Duesseldorf, Germany (2000).
