Martin Ester - researchr alias

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2011

2010

Inferring cancer subnetwork markers using density-constrained biclusteringPhuong Dao, Recep Colak, Raheleh Salari, Flavia Moser, Elai Davicioni, Alexander Schönhuth, Martin Ester. bioinformatics, 26(18), 2010. [doi]

A matrix factorization technique with trust propagation for recommendation in social networksMohsen Jamali, Martin Ester. recsys 2010: 135-142 [doi]

Modeling and Comparing the Influence of Neighbors on the Behavior of Users in Social and Similarity NetworksMohsen Jamali, Martin Ester. icdm 2010: 336-343 [doi]

Evaluating skylines in the presence of equijoinsWen Jin, Michael D. Morse, Jignesh M. Patel, Martin Ester, Zengjian Hu. icde 2010: 249-260 [doi]

Supervised identification and linking of concept mentions to a domain-specific ontologyGabor Melli, Martin Ester. CIKM 2010: 1717-1720 [doi]

Opinion digger: an unsupervised opinion miner from unstructured product reviewsSamaneh Moghaddam, Martin Ester. CIKM 2010: 1825-1828 [doi]

FVC: A Feature-Vector-Based Classification for XML DisseminationXiaoling Wang, Martin Ester, Weining Qian, Aoying Zhou. dasfaa 2010: 398-409 [doi]

Semi-supervised Learning from Only Positive and Unlabeled Data Using EntropyXiaoling Wang, Zhen Xu, Chaofeng Sha, Martin Ester, Aoying Zhou. waim 2010: 668-679 [doi]

A Data Mining Approach to XML DisseminationXiaoling Wang, Martin Ester, Weining Qian, Aoying Zhou. wise 2010: 442-455 [doi]

PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotesNancy Y. Yu, James R. Wagner, Matthew R. Laird, Gabor Melli, Sébastien Rey, Raymond Lo, Phuong Dao, Süleyman Cenk Sahinalp, Martin Ester, Leonard J. Foster, Fiona S. L. Brinkman. bioinformatics, 26(13):1608-1615, 2010. [doi]

2009

Dense Graphlet Statistics of Protein Interaction and Random NetworksRecep Colak, Fereydoun Hormozdiari, Flavia Moser, Alexander Schönhuth, J. Holman, Martin Ester, Süleyman Cenk Sahinalp. psb 2009: 178-189 [doi]

Quantifying Systemic Evolutionary Changes by Color Coding Confidence-Scored PPI NetworksPhuong Dao, Alexander SchÃ¶nhuth, Fereydoun Hormozdiari, Iman Hajirasouliha, SÃ¼leyman Cenk Sahinalp, Martin Ester. wabi 2009: 37-48 [doi]

Collaborative Mining in Multiple Social Networks Data for Criminal Group DiscoveryAmin Milani Fard, Martin Ester. cse 2009: 582-587 [doi]

A multi-relational approach to spatial classificationRichard Frank, Martin Ester, Arno Knobbe. kdd 2009: 309-318 [doi]

Using a trust network to improve top-N recommendationMohsen Jamali, Martin Ester. recsys 2009: 181-188 [doi]

::::TrustWalker::::: a random walk model for combining trust-based and item-based recommendationMohsen Jamali, Martin Ester. kdd 2009: 397-406 [doi]

Slider - maximum use of probability information for alignment of short sequence reads and SNP detectionNawar Malhis, Yaron S. N. Butterfield, Martin Ester, Steven J. M. Jones. bioinformatics, 25(1):6-13, 2009. [doi]

FeedbackTrust: using feedback effects in trust-based recommendation systemsSamaneh Moghaddam, Mohsen Jamali, Martin Ester, Jafar Habibi. recsys 2009: 269-272 [doi]

Mining Cohesive Patterns from Graphs with Feature VectorsFlavia Moser, Recep Colak, Arash Rafiey, Martin Ester. sdm 2009: 593-604 [doi]

2008

Joint cluster analysis of attribute data and relationship data: The connected ::::k::::-center problem, algorithms and applicationsRong Ge, Martin Ester, Byron J. Gao, Zengjian Hu, Binay K. Bhattacharya, Boaz Ben-Moshe. tkdd, 2(2), 2008. [doi]

Robust projected clusteringGabriela Moise, Jörg Sander, Martin Ester. kais, 14(3):273-298, 2008. [doi]

2007

Efficient incremental constrained clusteringIan Davidson, S. S. Ravi, Martin Ester. kdd 2007: 240-249 [doi]

A Method for Multi-relational Classification Using Single and Multi-feature Aggregation FunctionsRichard Frank, Flavia Moser, Martin Ester. pkdd 2007: 430-437 [doi]

Efficiently Mining Regional Outliers in Spatial DataRichard Frank, Wen Jin, Martin Ester. ssd 2007: 112-129 [doi]

The minimum consistent subset cover problem and its applications in data miningByron J. Gao, Martin Ester, Jin-yi Cai, Oliver Schulte, Hui Xiong. kdd 2007: 310-319 [doi]

Constraint-driven clusteringRong Ge, Martin Ester, Wen Jin, Ian Davidson. kdd 2007: 320-329 [doi]

The Multi-Relational Skyline OperatorWen Jin, Martin Ester, Zengjian Hu, Jiawei Han. icde 2007: 1276-1280 [doi]

On Efficient Processing of Subspace Skyline Queries on High Dimensional DataWen Jin, Anthony K. H. Tung, Martin Ester, Jiawei Han. ssdbm 2007: 12 [doi]

On Dominating Your Neighborhood ProfitablyCuiping Li, Anthony K. H. Tung, Wen Jin, Martin Ester. VLDB 2007: 818-829 [doi]

Recognition of Multi-sentence n-ary Subcellular Localization Mentions in Biomedical AbstractsGabor Melli, Martin Ester, Anoop Sarkar. lbm 2008: [doi]

Joint cluster analysis of attribute and relationship data withouta-priori specification of the number of clustersFlavia Moser, Rong Ge, Martin Ester. kdd 2007: 510-519 [doi]

2006

Density-Based Clustering over an Evolving Data Stream with NoiseFeng Cao, Martin Ester, Weining Qian, Aoying Zhou. sdm 2006: [doi]

Joint Cluster Analysis of Attribute Data and Relationship Data: the Connected k-Center ProblemMartin Ester, Rong Ge, Byron J. Gao, Zengjian Hu, Boaz Ben-Moshe. sdm 2006: [doi]

Right of Inference: Nearest Rectangle Learning RevisitedByron J. Gao, Martin Ester. ecml 2006: 638-645 [doi]

Cluster Description Formats, Problems and AlgorithmsByron J. Gao, Martin Ester. sdm 2006: [doi]

Discovering significant OPSM subspace clusters in massive gene expression dataByron J. Gao, Obi L. Griffith, Martin Ester, Steven J. M. Jones. kdd 2006: 922-928 [doi]

Turning Clusters into Patterns: Rectangle-Based Discriminative Data DescriptionByron J. Gao, Martin Ester. icdm 2006: 200-211 [doi]

A Disc-based Approach to Data Summarization and Privacy PreservationRong Ge, Martin Ester, Wen Jin, Zengjian Hu. ssdbm 2006: 321-332 [doi]

P3C: A Robust Projected Clustering AlgorithmGabriela Moise, Jörg Sander, Martin Ester. icdm 2006: 414-425 [doi]

Towards multidimensional subspace skyline analysisJian Pei, Yidong Yuan, Xuemin Lin, Wen Jin, Martin Ester, Qing Liu, Wei Wang 0011, Yufei Tao, Jeffrey Xu Yu, Qing Zhang. tods, 31(4):1335-1381, 2006. [doi]

2005

2004

2003

Hierarchical Document Clustering using Frequent ItemsetsBenjamin C. M. Fung, Ke Wang, Martin Ester. sdm 2003: [doi]

PSORT-B: improving protein subcellular localization prediction for Gram-negative bacteriaJennifer 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. nar, 31(13):3613-3617, 2003.

Preference Mining: A Novel Approach on Mining User Preferences for Personalized ApplicationsStefan Holland, Martin Ester, Werner Kießling. pkdd 2003: 204-216 [doi]

Frequent-subsequence-based prediction of outer membrane proteinsRong She, Fei Chen 0002, Ke Wang, Martin Ester, Jennifer L. Gardy, Fiona S. L. Brinkman. kdd 2003: 436-445 [doi]

Feature Weighting and Instance Selection for Collaborative Filtering: An Information-Theoretic Approach*Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Kriegel. kais, 5(2):201-224, 2003. [doi]

2002

2001

Multiple Similarity Queries: A Basic DBMS Operation for Mining in Metric DatabasesBernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander. tkde, 13(1):79-95, 2001. [doi]

Feature Weighting Methods for Improving the Accuracy of Collaborative Filtering (Invited Address)Kai Yu, Zhong Wen, Xiaowei Xu, Martin Ester. dexaw 2001: 285-290

Selecting Relevant Instances for Efficient and Accurate Collaborative FilteringKai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Kriegel. CIKM 2001: 239-246

2000

1999

1998

Clustering for Mining in Large Spatial DatabasesMartin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu. ki, 12(1):18-24, 1998.

Algorithms for Characterization and Trend Detection in Spatial DatabasesMartin Ester, Alexander Frommelt, Hans-Peter Kriegel, Jörg Sander. kdd 1998: 44-50

Incremental Generalization for Mining in a Data Warehousing EnvironmentMartin Ester, Rüdiger Wittmann. edbt 1998: 135-149 [doi]

Incremental Clustering for Mining in a Data Warehousing EnvironmentMartin Ester, Hans-Peter Kriegel, Jörg Sander, Michael Wimmer, Xiaowei Xu. VLDB 1998: 323-333 [doi]

Density-Based Clustering in Spatial Databases: The Algorithm GDBSCAN and Its ApplicationsJörg Sander, Martin Ester, Hans-Peter Kriegel, Xiaowei Xu. datamine, 2(2):169-194, 1998.

A Distribution-Based Clustering Algorithm for Mining in Large Spatial DatabasesXiaowei Xu, Martin Ester, Hans-Peter Kriegel, Jörg Sander. icde 1998: 324-331 [doi]

1997

Density-Connected Sets and their Application for Trend Detection in Spatial DatabasesMartin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu. kdd 1997: 10-15

Spatial Data Mining: A Database ApproachMartin Ester, Hans-Peter Kriegel, Jörg Sander. ssd 1997: 47-66 [doi]

1996

A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with NoiseMartin Ester, Hans-Peter Kriegel, Jörg Sander, Xiaowei Xu. kdd 1996: 226-231

Feature Based Classification of Protein Docking Sites: An Algorithm for Large Databases and Experimental ResultsMartin Ester, Hans-Peter Kriegel, Stefan Wirth. gcb 1997: 193-196

1995

Formbasierte Suche nach komplementären 3D-Oberflächen in einer Protein-DatenbankMartin Ester, Hans-Peter Kriegel, Thomas Seidl, Xiaowei Xu. btw 1995: 373-382

Knowledge Discovery in Large Spatial Databases: Focusing Techniques for Efficient Class IdentificationMartin Ester, Hans-Peter Kriegel, Xiaowei Xu. ssd 1995: 67-82 [doi]

A Database Interface for Clustering in Large Spatial DatabasesMartin Ester, Hans-Peter Kriegel, Xiaowei Xu. kdd 1995: 94-99

1987

KOFIS: Ein Expertensystem zur integrierten Dokumenten- und WissensverwaltungHans-Jürgen Appelrath, Martin Ester, Heinrich Jasper, Alfred Ultsch. xps 1987: 1-18

1985

Integrity in a Knowledge Based Office Information System: Modeling with Extended SDM and Implementation with PrologHans-Jürgen Appelrath, Martin Ester. bueroautomation 1985: 172-191