Publications


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Bo Hu, Martin Ester: Spatial Topic Modeling in Online Social Media for Location Recommendation. RecSys 2013
Byron J. Gao, Martin Ester, Hui Xiong, Jin-Yi Cai, Oliver Schulte: The Minimum Consistent Subset Cover Problem: A Minimization View of Data Mining. IEEE Trans. Knowl. Data Eng. 25(3): 690-703 (2013)
Samaneh Moghaddam, Martin Ester: The FLDA model for aspect-based opinion mining: addressing the cold start problem. WWW 2013: 909-918
Byron J. Gao, Obi L. Griffith, Martin Ester, Hui Xiong, Qiang Zhao, Steven J. M. Jones: On the Deep Order-Preserving Submatrix Problem: A Best Effort Approach. IEEE Trans. Knowl. Data Eng. 24(2): 309-325 (2012)
Bo Hu, Zhao Song, Martin Ester: User Features and Social Networks for Topic Modeling in Online Social Media. ASONAM 2012: 202-209
Bo Hu, Mohsen Jamali, Martin Ester: Learning the Strength of the Factors Influencing User Behavior in Online Social Networks. ASONAM 2012: 368-375
Samaneh Moghaddam, Martin Ester: On the design of LDA models for aspect-based opinion mining. CIKM 2012: 803-812
Stephan Günnemann, Phuong Dao, Mohsen Jamali, Martin Ester: Assessing the Significance of Data Mining Results on Graphs with Feature Vectors. ICDM 2012: 270-279
Samaneh Moghaddam, Martin Ester: Aspect-based opinion mining from product reviews. SIGIR 2012: 1184
Samaneh Moghaddam, Mohsen Jamali, Martin Ester: ETF: extended tensor factorization model for personalizing prediction of review helpfulness. WSDM 2012: 163-172
Samaneh Moghaddam, Mohsen Jamali, Martin Ester: Review recommendation: personalized prediction of the quality of online reviews. CIKM 2011: 2249-2252
P. L. Brantingham, M. Ester, U. Glässer, R. Frank, and M. A. Tayebi. “Co-offending Network Mining”, In U. Kock Wiil (ed.), Counterterrorism and Open Source Intelligence, Lecture Notes in Social Networks, pages 211–239, Springer Verlag, 2011.
Jamali M., Huang T., and Ester M.: "A Generalized Stochastic Block Model for Recommendation in Social Rating Networks", Proc. 5th ACM Conference in Recommender Systems (RecSys'11) , Chicago, IL, USA, October 2011.
Tayebi M.A., Jamali M., Glaesser U., Ester M., and Frank R.: "CrimeWalker: A Recommendation Model for Suspect Investigation", Proc. 5th ACM Conference in Recommender Systems (RecSys'11), Chicago, IL, USA, October 2011.
Dao P., Wang K., Collins C., Ester M., Lapuk A., Sahinalp C.S.: "Optimally discriminative subnetwork markers predict response to chemotherapy". Bioinformatics 27(13): 205-213 (2011).
Jamali M. and Ester M.: “A Transitivity Aware Matrix Factorization Model for Recommendation in Social Networks", Proc. 22nd International Joint Conference on Artificial Intelligence (IJCAI'11), Barcelona, Spain, July 2011.
Moghaddam S., and Ester M.: "ILDA: Interdependent LDA Model for Learning Latent Aspects and their Ratings from Online Product Reviews", Proc. 34th Annual ACM SIGIR Conference (SIGIR'11), July 2011, Beijing, China.
Dao P., Hormozdiari F., Hajirasouliha I., Ester M. and Sahinalp S.C.: “Proteome Network Emulating Models”, in Koyutürk M., Subramaniam S., Grama A. Ananth (Eds.): Functional Coherence of Molecular Networks in Bioinformatics, Springer Verlag, 2011.
Jamali M., Haffari G, and Ester M.: "Modeling the Temporal Dynamics of Social Rating Networks using Bidirectional Effects of Social Relations and Rating Patterns", Proc. Int. Conf. On World Wide Web (WWW 2011), Heydarabad, India, March 2011.
Gabor Melli, Martin Ester: Supervised identification and linking of concept mentions to a domain-specific ontology. CIKM 2010: 1717-1720
Samaneh Moghaddam, Martin Ester: Opinion digger: an unsupervised opinion miner from unstructured product reviews. CIKM 2010: 1825-1828
Xiaoling Wang, Martin Ester, Weining Qian, Aoying Zhou: FVC: A Feature-Vector-Based Classification for XML Dissemination. DASFAA Workshops 2010: 398-409
Jamali M., Ester M.: “A Matrix Factorization Technique with Trust Propagation for Recommendation in Social Networks”, Proc. 4th ACM Conf. on Recommender Systems, (RecSys 2010), 2010.
Xiaoling Wang, Zhen Xu, Chaofeng Sha, Martin Ester, Aoying Zhou: Semi-supervised Learning from Only Positive and Unlabeled Data Using Entropy. WAIM 2010: 668-679
Xiaoling Wang, Martin Ester, Weining Qian, Aoying Zhou: A Data Mining Approach to XML Dissemination. WISE 2010: 442-455
Colak R., Moser F. , Chu J., Schönhuth A., Chen N., Ester M.: “Module discovery by exhaustive search for densely connected, co-expressed regions in biomolecular interaction networks”, PLOS One, 2010.
Dao P., Colak R., Salari R., Moser F., Davicioni E., SchoenhuthA., Ester M.: “Inferring Cancer Subnetwork Markers using Density-Constrained Biclustering”, Bioinformatics 26(18): (2010).
Gao B.J., Griffith O., Ester M., Xiong H., Zhao Q., Jones S. J. M.: “On The Deep Order-preserving Submatrix Problem: A Best-Effort Approach”, IEEE Transactions on Knowledge and Data Engineering (TKDE), 2010.
Yu N.Y., Wagner J.R., Laird M.R., Melli G., Rey S., Lo R., Dao P., Sahinalp S.C., Ester M., Foster L.J., Brinkman F.S.L.: "PSORTb 3.0: Improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes", Bioinformatics 2010. pdf-file
Wang X., Zhen Xu Z., Sha C., Ester M., Zhou A.: "Semi-supervised Learning from only Positive and Unlabeled Data using Entropy", Proc. 11th Int. Conf. on Web-Age Information Management (WAIM ‘2010), Jiuzhaigou, China, 2010. pdf-file
Jin W., Morse M.D., Patel J.M., Ester M., Hu Z.: "Evaluating Skylines in the Presence of Equi-joins", Proc. 26rd IEEE Int. Conf. on Data Engineering (ICDE ‘2010), Long Beach, CA, USA, 2010. pdf-file
Fung B.C.M., Wang K., Ester M.: “Hierarchical Document Clustering”, in Wang J. (Ed.): Encyclopedia of Data Warehousing and Mining, IGI Global, 2009.
Dao P., Schoenhuth A., Hormozdiari F., Hajirasouliha I., Sahinalp S.C., and Ester M.: "Quantifying Systemic Evolutionary Changes by Color Coding Confidence-Scored PPI Networks", Proc. 9th Workshop on Algorithms in Bioinformatics (WABI 2009), Philadelphia, PE, USA, 2009. pdf-file
Milani Fard A., and Ester M., "Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery", Symp. on Social Computing Applications, Proc. IEEE Intl. Conf. on Social Computing (SocialCom'2009), Vancouver, Canada, 2009. pdf-file
Moghaddam S., Jamali M., Ester M., and Habibi J.: "FeedbackTrust: Using Feedback Effects in Trust-based Recommendation Systems", Proc. 3rd ACM Conf. on Recommender Systems, (RecSys ‘2009), New York City, NY, USA, 2009. pdf-file
Jamali M., and Ester M.: "Using a Trust Network to Improve Top-N Recommendation", Proc. 3rd ACM Conf. on Recommender Systems, (RecSys ‘2009), New York City, NY, USA, 2009. pdf-file
Ester M.: "Density-Based Clustering", Encyclopedia of Database Systems, Springer Verlag, 2009.
Jamali M., and Ester M.: "TrustWaker: A Random Walk Model for Combining Trust-based and Item-based Recommendation", Proc. 15th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘2009), Paris, France, 2009. pdf-file
Frank R., Ester M., and Knobbe A.: "A Multi-Relational Approach to Spatial Classification", Proc. 15th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘2009), Paris, France, 2009. pdf-file
Moser F., Colak R., Rafiey A., and Ester M.: "Mining cohesive patterns from graphs with feature vectors", Proc. 9th SIAM Conference on Data Mining (SDM ‘2009), Sparks, NE, USA, 2009. pdf-file
Colak R., Hormozdiari F., Moser F., Schonhuth A., Holman J., Ester M., and Sahinalp S.C.: "Dense graphlet statistics of protein interaction networks and random networks", Proc. 14th Pacific Symposium on Biocomputing (PSB 2009), Hawaii, USA, 2009.
Malhis N., Butterfield Y.S.N., Ester M., and Jones S. J. M.: "Slider—maximum use of probability information for alignment of short sequence reads and SNP detection", Bioinformatics, 25(1):6-13, 2009.
Ester M., Ge R., Gao B.J., Hu Z., Ben-Moshe B.: "Joint Cluster Analysis of Attribute Data and Relationship Data", In Basu S., Davidson I., Wagstaff K. (eds.): Constrained Clustering: Advances in Algorithms, Theory, and Applications, CRC Press, 2008. pdf-file
Moise G., Sander J., Ester M.: "Robust projected clustering", Knowledge and Information Systems (KAIS) 14(3), 273-298, 2008.
Ge R., Ester M., Gao B.J., Hu Z., Bhattacharya B.K., Ben-Moshe B.: “Joint cluster analysis of attribute data and relationship data: The connected k-center problem, algorithms and applications", ACM Transactions on Knowledge Discovery from Data (TKDD), 2(2), 2008.
Frank R., Moser F., Ester M.: “A Method for Multi-Relational Classification Using Single and Multi-Feature Aggregation Functions”, Proc. 11th Europ. Conf.on Principles and Practice of Knowledge Discovery in Databases (PKDD ‘2007), Warsaw, Poland, 2007. pdf-file
Li C., Tung A.K.H., Jin W., Ester M.: “On how to Dominate Your Neighborhood Profitably”, Proc. 33th Int. Conf. on Very Large Databases (VLDB ‘2007), Vienna, Austria, 2007. pdf-file
Gao B. J., Ester M., Cai J.-Y., Schulte O., Xiong H.: “The Minimum Consistent Subset Cover Problem and its Applications in Data Mining”, Proc. 13th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘2007), San Jose, CA, USA, 2007. pdf-file
Davidson I., Ester M., Ravi S.S.: “Efficient Incremental Constrained Clustering”, Proc. 13th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘2007), San Jose, CA, USA, 2007. pdf-file
Ge R., Ester M., Jin W., Davidson I.: “Constraint-Driven Clustering”, Proc. 13th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘2007), San Jose, CA, USA, 2007. pdf-file
Moser F., Ge R., Ester M.: “Joint Cluster Analysis of Attribute and Relationship Data Without A-Priori Specification of the Number of Clusters”, Proc. 13th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘2007), San Jose, CA, USA, 2007. pdf-file
Frank R., Jin W., Ester M.: “Efficiently Mining Regional Outliers in Spatial Data”, Proc. 10th Int. Symp. on Spatial and Temporal Databases (SSTD ‘2007), Boston, MA, USA, 2007. pdf-file
Jin W., Tung A. K. H., Ester M., Han J.: “On Efficient Processing of Subspace Skyline Queries on High Dimensional Data”, Proc. 19th Int. Conf. on Scientific and Statistical Database Management (SSDBM ‘2007), Banff, AB, Canada, 2007. pdf-file
Jin W., Ester M., Hu Z., Han J.: “The Multi-Relational Skyline Operator”, Proc. 23rd IEEE Int. Conf. on Data Engineering (ICDE ‘2007), Istanbul, Turkey, 2007. pdf-file
Pei J., Yuan Y., Lin X., Jin W., Ester M., Liu Q., Wang W., Tao Y., Yu J.X., Zhang Q.: "Towards Multidimensional Subspace Skyline Analysis", ACM Transactions on Database Systems (TODS), December 2006.
Gao B., Ester M.: "Turning Clusters into Patterns: Rectangle-based Discriminative Data Description", Proc. 6th IEEE Int. Conf. on Data Mining (ICDM 2006), Hong Kong, 2006. pdf-file
Moise G., Sander J., Ester M.: "P3C: A Robust Projected Clustering Algorithm", Proc. 6th IEEE Int. Conf. on Data Mining (ICDM 2006), Hong Kong, 2006. pdf-file
Gao B., Ester M.: "Right of Inference: Nearest Rectangle Learning Revisited", Proc. 17th Europ. Conf. on Machine Learning (ECML 2006), Berlin, Germany, 2006. pdf-file
Gao B., Griffith O., Ester M., Jones S. J. M.: “Discovering Significant OPSM Subspace Clusters in Massive Gene Expression Data”, Proc. 12th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘2006), Industry Track, Philadelphia, PA, USA, 2006. pdf-file
Ge R., Ester M., Jin W., Hu Z.: "A Disc-Based Approach to Data Summarization", Proc. 18th Int. Conf. on Scientific and Statistical Database Management, Vienna, Austria, 2006. pdf-file
Frank R., Ester M.: "A Quantitative Similarity Measure for Maps", Proc. 12th Int. Symp. on Spatial Data Handling (SDH 2006), Vienna, Austria, 2006. pdf-file
Ester M., Ge R., Gao B. J., Hu Z., Ben-Moshe B.: “Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem”, Proc. 6th SIAM Conference on Data Mining (SDM ‘2006), Bethesda, MD, USA, April 20 - 22, 2006. Selected as one of the Best Papers of SDM 2006. pdf-file
Gao B. J., Ester M.: “Cluster Description Formats, Problems and Algorithms”, Proc. 6th SIAM Conference on Data Mining (SDM ‘2006), Bethesda, MD, USA, April 20 - 22, 2006. pdf-file
Cao F., Ester M., Qian W., Zhou A.: “Density-Based Clustering over an Evolving Data Stream with Noise”, Proc. 6th SIAM Conference on Data Mining (SDM ‘2006), Bethesda, MD, USA, April 20 - 22, 2006. pdf-file
Jin W., Ester M., Han J.: “Efficient Processing of Ranked Queries with Sweeping Selection”, Proc. 9th European Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD ‘2005), Porto, Portugal, 2005. pdf-file
Pei J., Jin W., Ester M., Tao Y.: “Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces”, Proc. 31th Int. Conf. on Very Large Databases (VLDB ‘2005), Trondheim, Norway, 2005. pdf-file
Griffith OL, Pleasance ED, Fulton DL, Oveisi M, Ester M, Siddiqui AS, Jones SJM. 2005. "Assessment and integration of publicly available SAGE, cDNA microarray, and oligonucleotide microarray expression data for global coexpression analyses", Genomics, 86(4):476-488.
Gardy J.L., Laird M.R., Chen F., Rey S., Walsh C.J., Ester M., Brinkman F.S.L.: “PSORTb v.2.0: Expanded Prediction of Bacterial Protein Subcellular Localization and Insights Gained from Comparative Proteome Analysis”, Bioinformatics 21(5):617-623. Submitted Version
Fung B. C. M. , Wang K., Ester M.: "Hierarchical Document Clustering", in John Wang (ed.), The Encyclopedia of Data Warehousing and Mining, Idea Group, 2005.
Jin W., Han J., Ester M.: “Mining Thick Skylines over Large Databases”, Proc. 8th European Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD ‘2004), Pisa, Italy, 2004. pdf-file
Ester M., Kriegel H.-P., Schubert M.: “Accurate and Efficient Crawling for Relevant Websites”, Proc. 30th Int. Conf. on Very Large Databases (VLDB ‘2004), Toronto, Canada, 2004. pdf-file
Ester M., Ge R., Jin W., Hu Z.: “A Micro-economic Data Mining Problem: Customer-Oriented Catalog Segmentation”, Proc. 10th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘2004), Seattle, WA, USA, 2004. pdf-file
Ester M., Zhang X.: "A Top-Down Method for Mining Most Specific Frequent Patterns in Biological Sequence Data", Proc. SIAM Int. Conf. on Data Mining (SDM ‘2004), Lake Buena Vista, FL, USA, 2004. pdf-file
Holland S., Ester M., Kiessling W.: "Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications", Proc. 7th European Conf. on Principles and Practice of Knowledge Discovery in Databases (PKDD ‘2003), Dubrovnik, Croatia, 2003. pdf-file
She R., Chen F., Wang K., Ester M., Gardy J.L., Brinkman F.S.L.: "Frequent-Subsequence-Based Prediction of Outer Membrane Proteins", Proc. 9th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘2003), Industrial Track, Washington, D.C., U.S.A., 2003. pdf-file
Gardy J.L., Spencer C., Wang K., Ester M., Tusnady G.E., Simon I., Hua S., deFays K., Lambert C., Nakai K., Brinkman F.S.L.: "PSORT-B: Improving protein subcellular localization prediction for Gram-negative bacteria", Nucleic Acids Research, 2003, Vol. 31, No. 13, pp.1-5. Submitted Version
Fung B., Wang K., Ester M.: "Hierarchical Document Clustering Using Frequent Itemsets", Proc. SIAM International Conference on Data Mining 2003 (SDM ‘2003), May 2003, San Francisco, CA. pdf-file
Yu K., Xu X., Ester M., Kriegel H.-P.: "Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach", Knowledge and Information Systems: An International Journal, Springer, Vol. 5 No. 2, 2003. Submitted Version
Ester M., Kriegel H.-P., Schubert M.: "Web Site Mining: a new way to spot Competitors, Customers and Suppliers in the World Wide Web", Proc. 8th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘2002), Edmonton, Alberta, Canada, 2002. pdf-file
Beil F., Ester M., Xu X.: "Frequent Term-Based Text Clustering", Proc. 8th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘2002), Edmonton, Alberta, Canada, 2002. pdf-file
Yu K., Xu X., Tao J., Ester M., Kriegel H.-P.: "Instance Selection Techniques for Memory-Based Collaborative Filtering", Proc. 2nd SIAM Int. Conf. on Data Mining (SDM '02), 2002. pdf-file
Yu K., Wen Z., Xu X., Ester M.: "Feature Weighting and Instance Selection for Collaborative Filtering", Proc. 2nd Int. Workshop on Management of Information on the Web - Web Data and Text Mining (MIW '01), 2001. pdf-file
Ester M., Kriegel H.-P., Sander J.: “Algorithms and Applications for Spatial Data Mining”, invited chapter for Geographic Data Mining and Knowledge Discovery, Research Monographs in GIS, Taylor and Francis, 2001.
Braunmueller B., Ester M., Kriegel H.-P., Sander J.: “Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases“, Special Issue on "Best Papers of ICDE 2000", IEEE Transactions on Knowledge and Data Engineering, Vol. 13, No. 1, 2001. Submitted Version 
Ester M., Sander J.: "Knowledge Discovery in Databases: Techniken und Anwendungen der Wissensextraktion" (in German), Springer textbook, Springer, September 2000.  Table of Contents
Ester M., Groß M.: “Ariadne: a Focused Crawler with Adaptive Classification of the Hyperlinks” (in German), Proc. German Conf. on Machine Learning, Birlinghoven, Germany, Sept. 2000.  Extended Abstract
Ankerst M., Ester M., Kriegel H.-P.: "Towards an Effective Cooperation of the Computer and the User for Classification", Proc. ACM SIGKDD 6th Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘2000), Boston, MA, 2000. pdf-file
Ester M., Kohlhammer J., Kriegel H.-P.: "The DC-tree: a Fully Dynamic Index Structure for Data Warehouses", Proc.16th IEEE Int. Conf. on Data Engineering (ICDE ‘2000), San Diego, CA, 2000. pdf-file
Braunmueller B., Ester M., Kriegel H.-P., Sander J.: “Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases“, Proc.16th IEEE Int. Conf. on Data Engineering (ICDE ‘2000), San Diego, CA, 2000. pdf-file
Ester M., Frommelt A., Kriegel H.-P., Sander J.: “Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support”, Special Issue on: "Integration of Data Mining with Database Technology", Data Mining and Knowledge Discovery, an International Journal, Kluwer Academic Publishers, Vol. 4, Nos. 2/3, 2000. Submitted Version
Ester M., Kriegel H.-P., Sander J.: “Knowledge Discovery in Spatial Databases”, invited paper at 23rd German Conf. on Artificial Intelligence (KI '99), Bonn, Germany, 1999. pdf-file
Ankerst M., Elsen Ch., Ester M., Kriegel H.-P.: "Visual Classification: An Interactive Approach to Decision Tree Construction", Proc.5th ACM SIGKDD Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘99), San Diego, CA, 1999. pdf-file
Ester M.: "Knowledge Discovery in Spatial Databases", Habilitation Thesis, Department of Computer Science, University of Munich, 1999. Abstract
Ester M., Gundlach S., Kriegel H.-P., Sander J.: “Database Primitives for Spatial Data Mining”, Proc. Int. Conf. on Databases in Office, Engineering and Science, (BTW '99), Freiburg, Germany, 1999. pdf-file ps-file
Ester M. “Spatial Analysis”, invited article in Handbook of Data Mining and Knowledge Discovery, Kloesgen W. and Zytkow J. (eds.), Oxford University Press, 1999. Draft version
Ester M., Frommelt A., Kriegel H.-P., Sander J.: “Algorithms for Classification and Trend Detection in Spatial Databases”, Proc. 4th Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘98), New York City, NY, 1998, pp. 44-50. ps-file
Ester M., Kriegel H.-P., Sander J., Xu X.: “Incremental Clustering for Mining in a Data Warehousing Environment”, Proc. 24th Int. Conf. on Very Large Databases (VLDB ‘98), New York City, NY, 1998, pp. 323-333. ps-file
Sander J., Ester M., Kriegel H.-P., Xu X.: “Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and its Applications”, Data Mining and Knowledge Discovery, an International Journal, Vol. 2, No. 2, Kluwer Academic Publishers, 1998, pp. 169-194. Abstract
Ester M., Kriegel H.-P., Sander J., Xu X.: “Clustering for Mining in Large Spatial Databases”, KI (Artificial Intelligence), Special Issue on Data Mining, ScienTec Publishing, March 1998, pp. 18-24. ps-file
Ester M., Wittmann R.: “Incremental Generalization for Mining in a Data Warehousing Environment”, Proc. 6th Int. Conf. on Extending Database Technology (EDBT ‘98), Valencia, Spain, 1998, pp.135-152. ps-file
Xu X., Ester M., Kriegel H.-P., Sander J.: “A distribution-based Clustering Algorithm for Mining in Large Spatial Databases”, Proc. 14th Int. Conf. on Data Engineering (ICDE ’98), Orlando, FL, 1998, pp. 324-331. ps-file
Xu X., Ester M., Kriegel H.-P., Sander J.: “Clustering and Knowledge Discovery in Spatial Databases”, Vistas in Astronomy, Vol. 41, No. 3, 1997, pp. 397-403. (Special issue, proceedings of European Science Foundation workshop on “From Information Fusion to Data Mining”, Granada, April 1997, editors R. Molina, F. Murtagh and A. Heck).
Ester M., Kriegel H.-P., Sander J., Xu X.: “Density-Connected Sets and their Application for Trend Detection in Spatial Databases”, Proc. 3nd Int. Conf. on Knowledge Discovery and Data Mining (KDD ‘97), Newport Beach, CA, AAAI Press, 1997, pp. 10-15. ps-file
Ester M., Kriegel H.-P., Sander J.: “Spatial Data Mining: A Database Approach“, Proc. 5th Int. Symp. on Large Spatial Databases (SSD '97), Berlin, Germany, Lecture Notes in Computer Science, Vol. 1262, Springer, 1997, pp. 47-68. ps-file
Ester M., Kriegel H.-P., Wirth S.: “Feature Based Classification of Protein Docking Sites: An Algorithm for Large Databases and Experimental Results”, Proc. German Conf. on Bioinformatics (GCB ‘96), Leipzig, Germany, 1996, pp. 193-196. Extended Abstract
Ester M., Kriegel H.-P., Sander J., Xu X.: “A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise”, Proc. 2nd int. Conf. on Knowledge Discovery and Data Mining (KDD ‘96), Portland, Oregon, 1996, AAAI Press, 1996. ps-file
Schomburg D., Jakob U., Meyer M., Wilson P., Sagerer G., Ackermann F., Herrmann G., Posch S., Soumpasis M., Grimm G., Ihmels B., Strahm M., Kriegel H.-P., Seidl T., Schmidt T., Ester M., Xu X.: “BIOWEPRO: Interactions of Proteins” (in German), Proc. BMBF-Statusseminar "Molecular Bioinformatics", Braunschweig, 1995, pp.125-153.
Ester M., Kriegel H.-P., Xu X.: “Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification”, Proc. 4th Int. Symp. on Large Spatial Databases (SSD '95), Portland, Maine, Lecture Notes in Computer Science, Vol. 951, Springer, 1995, pp. 67-82. ps-file
Ester M., Kriegel H.-P., Xu X.: “A Database Interface for Clustering in Large Spatial Databases”, Proc. 1st Int. Conf. on Knowledge Discovery & Data Mining (KDD ‘95), Montreal, Canada, 1995, pp. 94-99. ps-file
Ester M., Kriegel H.-P., Seidl T., Xu X.: “Shape-Based Search for Complementary 3D Surfaces in a Protein Database” (in German), Proc. Int. Conf. on Databases in Office, Engineering and Science (BTW '95), Informatik aktuell, Springer, 1995, pp. 373-382. ps-file
Aldinger K., Ester M., Förstner G., Kriegel H.-P., Seidl T.: “Database Support for Protein Protein Docking: an Efficient and Robust Feature Index” (in German), Proc. German Conf. on Bioinformatics (GCB ‘94), Jena, Germany, 1994. ps-file