2009 | ||
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77 | Amin Milani Fard, Martin Ester: Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery. CSE (4) 2009: 582-587 | |
76 | Richard Frank, Martin Ester, Arno Knobbe: A multi-relational approach to spatial classification. KDD 2009: 309-318 | |
75 | Mohsen Jamali, Martin Ester: TrustWalker: a random walk model for combining trust-based and item-based recommendation. KDD 2009: 397-406 | |
74 | Mohsen Jamali, Martin Ester: Using a trust network to improve top-N recommendation. RecSys 2009: 181-188 | |
73 | Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Jafar Habibi: FeedbackTrust: using feedback effects in trust-based recommendation systems. RecSys 2009: 269-272 | |
72 | Flavia Moser, Recep Colak, Arash Rafiey, Martin Ester: Mining Cohesive Patterns from Graphs with Feature Vectors. SDM 2009: 593-604 | |
71 | Phuong Dao, Alexander Schönhuth, Fereydoun Hormozdiari, Iman Hajirasouliha, Süleyman Cenk Sahinalp, Martin Ester: Quantifying Systemic Evolutionary Changes by Color Coding Confidence-Scored PPI Networks. WABI 2009: 37-48 | |
70 | Martin Ester: Density-based Clustering. Encyclopedia of Database Systems 2009: 795-799 | |
69 | Nawar Malhis, Yaron S. N. Butterfield, Martin Ester, Steven J. M. Jones: Slider - maximum use of probability information for alignment of short sequence reads and SNP detection. Bioinformatics 25(1): 6-13 (2009) | |
68 | Obi L. Griffith, Byron J. Gao, Mikhail Bilenky, Yuliya Prichyna, Martin Ester, Steven J. M. Jones: KiWi: A Scalable Subspace Clustering Algorithm for Gene Expression Analysis CoRR abs/0904.1931: (2009) | |
2008 | ||
67 | Oliver Schulte, Hassan Khosravi, Flavia Moser, Martin Ester: Join Bayes Nets: A new type of Bayes net for relational data CoRR abs/0811.4458: (2008) | |
66 | Gabriela Moise, Jörg Sander, Martin Ester: Robust projected clustering. Knowl. Inf. Syst. 14(3): 273-298 (2008) | |
65 | Rong Ge, Martin Ester, Byron J. Gao, Zengjian Hu, Binay K. Bhattacharya, Boaz Ben-Moshe: Joint cluster analysis of attribute data and relationship data: The connected k-center problem, algorithms and applications. TKDD 2(2): (2008) | |
2007 | ||
64 | Wen Jin, Martin Ester, Zengjian Hu, Jiawei Han: The Multi-Relational Skyline Operator. ICDE 2007: 1276-1280 | |
63 | Ian Davidson, S. S. Ravi, Martin Ester: Efficient incremental constrained clustering. KDD 2007: 240-249 | |
62 | Byron J. Gao, Martin Ester, Jin-yi Cai, Oliver Schulte, Hui Xiong: The minimum consistent subset cover problem and its applications in data mining. KDD 2007: 310-319 | |
61 | Rong Ge, Martin Ester, Wen Jin, Ian Davidson: Constraint-driven clustering. KDD 2007: 320-329 | |
60 | Flavia Moser, Rong Ge, Martin Ester: Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clusters. KDD 2007: 510-519 | |
59 | Gabor Melli, Martin Ester, Anoop Sarkar: Recognition of Multi-sentence n-ary Subcellular Localization Mentions in Biomedical Abstracts. LBM (Short Papers) 2007 | |
58 | Richard Frank, Flavia Moser, Martin Ester: A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions. PKDD 2007: 430-437 | |
57 | Wen Jin, Anthony K. H. Tung, Martin Ester, Jiawei Han: On Efficient Processing of Subspace Skyline Queries on High Dimensional Data. SSDBM 2007: 12 | |
56 | Richard Frank, Wen Jin, Martin Ester: Efficiently Mining Regional Outliers in Spatial Data. SSTD 2007: 112-129 | |
55 | Cuiping Li, Anthony K. H. Tung, Wen Jin, Martin Ester: On Dominating Your Neighborhood Profitably. VLDB 2007: 818-829 | |
54 | Oliver Schulte, Flavia Moser, Martin Ester, Zhiyong Lu: Association Rules in the Relational Calculus CoRR abs/0710.2083: (2007) | |
2006 | ||
53 | Byron J. Gao, Martin Ester: Right of Inference: Nearest Rectangle Learning Revisited. ECML 2006: 638-645 | |
52 | Byron J. Gao, Martin Ester: Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description. ICDM 2006: 200-211 | |
51 | Gabriela Moise, Jörg Sander, Martin Ester: P3C: A Robust Projected Clustering Algorithm. ICDM 2006: 414-425 | |
50 | Byron J. Gao, Obi L. Griffith, Martin Ester, Steven J. M. Jones: Discovering significant OPSM subspace clusters in massive gene expression data. KDD 2006: 922-928 | |
49 | Byron J. Gao, Martin Ester: Cluster Description Formats, Problems and Algorithms. SDM 2006 | |
48 | Feng Cao, Martin Ester, Weining Qian, Aoying Zhou: Density-Based Clustering over an Evolving Data Stream with Noise. SDM 2006 | |
47 | Martin Ester, Rong Ge, Byron J. Gao, Zengjian Hu, Boaz Ben-Moshe: Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center Problem. SDM 2006 | |
46 | Rong Ge, Martin Ester, Wen Jin, Zengjian Hu: A Disc-based Approach to Data Summarization and Privacy Preservation. SSDBM 2006: 321-332 | |
45 | Jian Pei, Yidong Yuan, Xuemin Lin, Wen Jin, Martin Ester, Qing Liu, Wei Wang, Yufei Tao, Jeffrey Xu Yu, Qing Zhang: Towards multidimensional subspace skyline analysis. ACM Trans. Database Syst. 31(4): 1335-1381 (2006) | |
2005 | ||
44 | Wen Jin, Martin Ester, Jiawei Han: Efficient Processing of Ranked Queries with Sweeping Selection. PKDD 2005: 527-535 | |
43 | Jian Pei, Wen Jin, Martin Ester, Yufei Tao: Catching the Best Views of Skyline: A Semantic Approach Based on Decisive Subspaces. VLDB 2005: 253-264 | |
42 | Jennifer L. Gardy, Matthew R. Laird, Fei Chen, Sébastien Rey, C. J. Walsh, Martin Ester, Fiona S. L. Brinkman: PSORTb v.2.0: Expanded prediction of bacterial protein subcellular localization and insights gained from comparative proteome analysis. Bioinformatics 21(5): 617-623 (2005) | |
2004 | ||
41 | Martin Ester, Rong Ge, Wen Jin, Zengjian Hu: A microeconomic data mining problem: customer-oriented catalog segmentation. KDD 2004: 557-562 | |
40 | Wen Jin, Jiawei Han, Martin Ester: Mining Thick Skylines over Large Databases. PKDD 2004: 255-266 | |
39 | Martin Ester, Xiang Zhang: A Top-Down Method for Mining Most-Specific Frequent Patterns in Biological Sequences. SDM 2004 | |
38 | Martin Ester, Hans-Peter Kriegel, Matthias Schubert: Accurate and Efficient Crawling for Relevant Websites. VLDB 2004: 396-407 | |
2003 | ||
37 | Rong She, Fei Chen, Ke Wang, Martin Ester, Jennifer L. Gardy, Fiona S. L. Brinkman: Frequent-subsequence-based prediction of outer membrane proteins. KDD 2003: 436-445 | |
36 | Stefan Holland, Martin Ester, Werner Kießling: Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications. PKDD 2003: 204-216 | |
35 | Benjamin C. M. Fung, Ke Wang, Martin Ester: Hierarchical Document Clustering using Frequent Itemsets. SDM 2003 | |
34 | Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Kriegel: Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach*. Knowl. Inf. Syst. 5(2): 201-224 (2003) | |
33 | Jennifer L. Gardy, Cory Spencer, Ke Wang, Martin Ester, Gábor E. Tusnády, István Simon, Sujun Hua, Katalin de Fays, Christophe G. Lambert, Kenta Nakai, Fiona S. L. Brinkman: PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteria. Nucleic Acids Research 31(13): 3613-3617 (2003) | |
2002 | ||
32 | Martin Ester, Hans-Peter Kriegel, Matthias Schubert: Web site mining: a new way to spot competitors, customers and suppliers in the world wide web. KDD 2002: 249-258 | |
31 | Florian Beil, Martin Ester, Xiaowei Xu: Frequent term-based text clustering. KDD 2002: 436-442 | |
30 | Kai Yu, Xiaowei Xu, Jianjua Tao, Martin Ester, Hans-Peter Kriegel: Instance Selection Techniques for Memory-based Collaborative Filtering. SDM 2002 | |
2001 | ||
29 | Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Kriegel: Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering. CIKM 2001: 239-246 | |
28 | Kai Yu, Zhong Wen, Xiaowei Xu, Martin Ester: Feature Weighting Methods for Improving the Accuracy of Collaborative Filtering (Invited Address). DEXA Workshop 2001: 285-290 | |
27 | Bernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander: Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric Databases. IEEE Trans. Knowl. Data Eng. 13(1): 79-95 (2001) | |
2000 | ||
26 | Martin Ester, Jörg Sander: Knowledge Discovery in Databases - Techniken und Anwendungen Springer 2000 | |
25 | Bernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander: Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases. ICDE 2000: 256-267 | |
24 | Martin Ester, Jörn Kohlhammer, Hans-Peter Kriegel: The DC-Tree: A Fully Dynamic Index Structure for Data Warehouses. ICDE 2000: 379-388 | |
23 | Mihael Ankerst, Martin Ester, Hans-Peter Kriegel: Towards an effective cooperation of the user and the computer for classification. KDD 2000: 179-188 | |
22 | Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander: Spatial Data Mining: Database Primitives, Algorithms and Efficient DBMS Support. Data Min. Knowl. Discov. 4(2/3): 193-216 (2000) | |
1999 | ||
21 | Martin Ester, Stefan Grundlach, Hans-Peter Kriegel, Jörg Sander: Database Primitives for Spatial Data Mining. BTW 1999: 137-150 | |
20 | Martin Ester, Hans-Peter Kriegel, Jörg Sander: Knowledge Discovery in Spatial Databases. DAGM-Symposium 1999: 1-14 | |
19 | Mihael Ankerst, Christian Elsen, Martin Ester, Hans-Peter Kriegel: Visual Classification: An Interactive Approach to Decision Tree Construction. KDD 1999: 392-396 | |
18 | Martin Ester, Hans-Peter Kriegel, Jörg Sander: Knowledge Discovery in Spatial Databases. KI 1999: 61-74 | |
17 | Martin Ester: Knowledge Discovery in Spatial Databases (Abstract). Datenbank Rundbrief 23: 25 (1999) | |
16 | Mihael Ankerst, Christian Elsen, Martin Ester, Hans-Peter Kriegel: Perception-Based Classification. Informatica (Slovenia) 23(4): (1999) | |
1998 | ||
15 | Martin Ester, Rüdiger Wittmann: Incremental Generalization for Mining in a Data Warehousing Environment. EDBT 1998: 135-149 | |
14 | Xiaowei Xu, Martin Ester, Hans-Peter Kriegel, Jörg Sander: A Distribution-Based Clustering Algorithm for Mining in Large Spatial Databases. ICDE 1998: 324-331 | |
13 | Martin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander: Algorithms for Characterization and Trend Detection in Spatial Databases. KDD 1998: 44-50 | |
12 | Martin Ester, Hans-Peter Kriegel, Jörg Sander, Michael Wimmer, Xiaowei Xu: Incremental Clustering for Mining in a Data Warehousing Environment. VLDB 1998: 323-333 | |
11 | Jörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu: Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its Applications. Data Min. Knowl. Discov. 2(2): 169-194 (1998) | |
10 | Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu: Clustering for Mining in Large Spatial Databases. KI 12(1): 18-24 (1998) | |
1997 | ||
9 | Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu: Density-Connected Sets and their Application for Trend Detection in Spatial Databases. KDD 1997: 10-15 | |
8 | Martin Ester, Hans-Peter Kriegel, Jörg Sander: Spatial Data Mining: A Database Approach. SSD 1997: 47-66 | |
1996 | ||
7 | Martin Ester, Hans-Peter Kriegel, Stefan Wirth: Feature Based Classification of Protein Docking Sites: An Algorithm for Large Databases and Experimental Results. German Conference on Bioinformatics 1996: 193-196 | |
6 | Martin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu: A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. KDD 1996: 226-231 | |
1995 | ||
5 | Martin Ester, Hans-Peter Kriegel, Thomas Seidl, Xiaowei Xu: Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-Datenbank. BTW 1995: 373-382 | |
4 | Martin Ester, Hans-Peter Kriegel, Xiaowei Xu: A Database Interface for Clustering in Large Spatial Databases. KDD 1995: 94-99 | |
3 | Martin Ester, Hans-Peter Kriegel, Xiaowei Xu: Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class Identification. SSD 1995: 67-82 | |
1987 | ||
2 | Hans-Jürgen Appelrath, Martin Ester, Heinrich Jasper, Alfred Ultsch: KOFIS: Ein Expertensystem zur integrierten Dokumenten- und Wissensverwaltung. Expertensysteme 1987: 1-18 | |
1985 | ||
1 | Hans-Jürgen Appelrath, Martin Ester: Integrity in a Knowledge Based Office Information System: Modeling with Extended SDM and Implementation with Prolog. Büroautomation 1985: 172-191 |