2017
Xin Wang, Steven C. H. Hoi, Martin Ester, Jiajun Bu, Chun Chen: Learning Personalized Preference of Strong and Weak Ties for Social Recommendation. WWW 2017: 1601-1610
Xiang Li, Yao Wu, Martin Ester, Ben Kao, Xin Wang, Yudian Zheng: Semi-supervised Clustering in Attributed Heterogeneous Information Networks. WWW 2017: 1621-1629
Weipeng Lin, Ke Wang, Zhilin Zhang, Hong Chen. Revisiting Security Risks of Asymmetric Scalar Product Preserving Encryption and Its Variants. IEEE International Conference on Distributed Computing Systems (ICDCS 2017)
Zhouyang Ren, Ke Wang, Wenyuan Li, Liming Jin, Yi Dai. Probabilistic Power Flow Analysis of Power Systems Incorporating Tidal Current Generation. IEEE Transactions on Sustainable Energy, Issue 99, Feb 2017.
Ryan McBride, Ke Wang, Viswanadh Nekkanti, Wenyuan Li. Risk Clearance with Guaranteed Precision. SDM 2017.
2016
Chenyi Zhang, Hongwei Liang, Ke Wang. Trip Recommendation Meets Real World Constraints: POI Availability, Diversity and Traveling Time Uncertainty . ACM Transactions on Information Systems (TOIS), Volume 35 Issue 1, September 2016, Article No. 5
Junqiang Liu, Ke Wang, Benjamin Fung. Mining High Utility Patterns in One Phase without Generating Candidates . TKDE, Volume: 28, Issue: 5, May 1 2016, 1245 - 1257
Chenyi Zhang and Ke Wang. POI Recommendation through Cross-Region Collaborative Filtering. KAIS, Volume 46 Issue 2, February 2016 Pages 369-387
Wei Xie, Feida Zhu, Jing Jiang, Ee-Peng Lim, and Ke Wang. TopicSketch: Real-time Bursty Topic Detection from Twitter . TKDE 2016
Ke Wang, Peng Wang, Ada Fu, Raymond Wong. Generalized Bucketization Scheme for Flexible Privacy Settings . Information Sciences, 2016, Volume 348, 20 June 2016, Pages 377-393
Hongwei Liang, Ke Wang, Feida Zhu. Mining Social Ties Beyond Homophily. ICDE 2016
Hanyin Fang, Fei Wu, Zhou Zhao, Xinyu Duan, Yueting Zhuang, Martin Ester:Community-Based Question Answering via Heterogeneous Social Network Learning. AAAI 2016: 122-128
Xin Wang, Roger Donaldson, Christopher Nell, Peter Gorniak, Martin Ester, Jiajun Bu: Recommending Groups to Users Using User-Group Engagement and Time-Dependent Matrix Factorization. AAAI 2016: 1331-133
Yao Wu, Xudong Liu, Min Xie, Martin Ester, Qing Yang: CCCF: Improving Collaborative Filtering via Scalable User-Item Co-Clustering. WSDM 2016: 73-82
Yao Wu, Christopher DuBois, Alice X. Zheng, Martin Ester:Collaborative Denoising Auto-Encoders for Top-N Recommender Systems. WSDM 2016: 153-162
Beidou Wang, Martin Ester, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai:Which to View: Personalized Prioritization for Broadcast Emails. WWW 2016: 1181-1190
Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester:Structural Analysis of User Choices for Mobile App Recommendation. CoRR abs/1605.07980 (2016)
Beidou Wang, Martin Ester, Yikang Liao, Jiajun Bu, Yu Zhu, Ziyu Guan, Deng Cai: The Million Domain Challenge: Broadcast Email Prioritization by Cross-domain Recommendation. KDD 2016: 1895-1904
Boshra Nabaei, Martin Ester: Activity monitoring using topic models. ISI 2016: 115-120
Vlad Sandulescu, Martin Ester: Detecting Singleton Review Spammers Using Semantic Similarity. CoRR abs/1609.02727 (2016)
Xin Wang, Wei Lu, Martin Ester, Can Wang, Chun Chen: Social Recommendation with Strong and Weak Ties. CIKM 2016: 5-1
Sahand Khakabimamaghani, Martin Ester: Bayesian Biclustering for Patient Stratification. PSB 2016: 345-356
Bin Liu, Yao Wu, Neil Zhenqiang Gong, Junjie Wu, Hui Xiong, Martin Ester: Structural Analysis of User Choices for Mobile App Recommendation. CoRR abs/1605.07980 (2016)
2015
Yu Liu, Martin Ester, Bo Hu, David W. Cheung:Spatio-Temporal Topic Models for Check-in Data. ICDM 2015: 889-894
Yao Wu, Martin Ester:FLAME: A Probabilistic Model Combining Aspect Based Opinion Mining and Collaborative Filtering. WSDM 2015: 199-208
Vlad Sandulescu, Martin Ester:Detecting Singleton Review Spammers Using Semantic Similarity. WWW (Companion Volume) 2015: 971-976
Junqiang Liu, Ke Wang, Benjamin Fung. Mining High Utility Patterns in One Phase without Generating Candidates . TKDE, 2015, no. 1, pp. 1, PrePrints PrePrints, doi:10.1109/TKDE.2015.2510012
Yue Wang, Ke Wang, Ada Wai-Chee Fu, and Raymond Chi-Wing Wong. KeyLabel Algorithm for Keyword Search in Large Graphs. IEEE Big Data 2015
Wei Xie, Feida Zhu, Siyuan Liu, and Ke Wang. Modelling Cascades Over Time in Microblogs. IEEE Big Data 2015
Aungon Nag Radon, Ke Wang, Uwe Glaesser, Hans Wehn, and Andrew Westwell-Roper. Contextual Verification for False Alarm Reduction in Maritime Anomaly Detection. IEEE Big Data 2015
Xiaoning Xu; Chuancong Gao; Jian Pei; Ke Wang; Abdullah Al-Barakati. Continuous Similarity Search for Evolving Queries. KAIS, pp 1-30, online: 15 October 2015
Chenyi Zhang, Hongwei Liang, Ke Wang, Jianling Sun. Personalized Trip Recommendation with POI Availability and Uncertain Traveling Time. CIKM 2015 (10 pages). The runner-up for the best student paper award.
Shuaiqiang Wang, Yun Wu, Byron J. Gao, Ke Wang, Hady W. Lauw, and Jun Ma. A Cooperative Coevolution Framework for Parallel Learning to Rank. TKDE, Issue No.12 - Dec. (2015 vol.27), pp: 3152-3165
Lei Dong, Xuan Chen, Jianxiang Zhu, Hong Chen, Ke Wang, Cuiping Li. A Secure Collusion-aware and Probability-aware Range Query Processing in Tiered Sensor Networks. The 34th IEEE Symposium on Reliable Distributed Systems, 2015. (10 pages)
Chao Han and Ke Wang. Sensitive Disclosures under Differential Privacy Guarantees. IEEE BigData Congress 2015. (8 pages)
Chenyi Zhang and Ke Wang. POI Recommendation through Cross-Region Collaborative Filtering. KAIS, pp 1-19, First online: 13 February 2015
Ke Wang, Chao Han, Ada Waichee Fu, Raymond Chi Wing, Philip S. Yu. Reconstruction Privacy: Enabling Statistical Learning. EDBT 2015. (12 pages)
Loc Do, Hady W. Lauw, Ke Wang. Mining Revenue-Maximizing Bundling Configuration. PVLDB 2015. (12 pages)
Chenyi Zhang, Ke Wang, Ee-peng Lim, Qinneng Xu, Jianling Sun, and Hongkun Yu. Are Features Equally Representative? A Feature-Centric Recommendation. AAAI 2015. (6 pages)
Back to top2014
Xiaoying Zhang, Hong Chen, Ke Wang, Hui Peng, Yongjian Fan, Deying Li, Rotation-based Privacy-preserving Data Aggregation in Wireless Sensor Networks, IEEE International Conference on Communications 2014
Ismael A Vergara, Maja Tarailo-Graovac, Christian Frech, Jun Wang, Ting Zhang, Zhaozhao Qin, Rong She, Jeffrey SC Chu, Ke Wang and Nansheng Chen: Genome-wide variations in a natural isolate of the nematode Caenorhabditis elegans, BMC Genomics, 2014.
Chenyi Zhang, Xueyi Zhao, Ke Wang, Jianling Sun, Content + Attributes: a Latent Factor Model for Recommending Scientific Papers in Heterogeneous Academic Networks, ECIR 2014 (12 pages)
Chenyi Zhang, Ke Wang, Hongkun Yu, Jianling Sun, En-Peng Lim, Latent Factor Transition for Dynamic Collaborative Filtering, SDM 2014 (9 pages)
Wenyuan Li, Ke Wang and Wijarn Wangdee. Load Data Cleansing and Bus Load Coincidence Factors. In Smart Grids: Clouds, Communications, Open Source, and Automation. CRC Press, 2014
Ada Wai-Chee Fu, Ke Wang, Raymond Chi-Wing Wong, Jia Wang, Minhao Jiang: Small sum privacy and large sum utility in data publishing. Journal of Biomedical Informatics 50: 20-31 (2014)
Beidou Wang, Martin Ester, Jiajun Bu, Deng Cai: Who Also Likes It? Generating the Most Persuasive Social Explanations in Recommender Systems. AAAI 2014: 173-179
Mohammad A. Tayebi, Martin Ester, Uwe Glässer, Patricia L. Brantingham: CRIMETRACER: Activity space based crime location prediction. ASONAM 2014: 472-480
Hao Wang, Martin Ester: A Sentiment-aligned Topic Model for Product Aspect Rating Prediction. EMNLP 2014: 1192-1202
Mohammad A. Tayebi, Martin Ester, Uwe Glässer, Patricia L. Brantingham: Spatially embedded co-offence prediction using supervised learning. KDD 2014: 1789-1798
Brigitte Boden, Martin Ester, Thomas Seidl: Density-Based Subspace Clustering in Heterogeneous Networks. ECML/PKDD (1) 2014: 149-164
Xindong Wu, Martin Ester, Guandong Xu (Eds.): 2014 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining, ASONAM 2014, Beijing, China, August 17-20, 2014. IEEE 2014
Alfred Kobsa, Michelle X. Zhou, Martin Ester, Yehuda Koren (Eds.): Eighth ACM Conference on Recommender Systems, RecSys '14, Foster City, Silicon Valley, CA, USA - October 06 - 10, 2014. ACM 2014, ISBN 978-1-4503-2668-
Bo Hu, Zhao Song, Martin Ester: Topic Modeling in Online Social Media, User Features, and Social Networks for. Encyclopedia of Social Network Analysis and Mining 2014: 2178-2191
Bo Hu, Mohsen Jamali, Martin Ester: User Behavior in Online Social Networks, Influencing Factors. Encyclopedia of Social Network Analysis and Mining 2014: 2289-2302
Back to top2013
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)
Bo Hu, Mohsen Jamali, Martin Ester: Spatio-Temporal Topic Modeling in Mobile Social Media for Location Recommendation. ICDM 2013: 1073-1078
Jennifer H. Nguyen, Bo Hu, Stephan Günnemann, Martin Ester: Finding contexts of social influence in online social networks. SNAKDD 2013: 1
Bo Hu, Martin Ester: Spatial topic modeling in online social media for location recommendation. RecSys 2013: 25-32
Jim Blomo, Martin Ester, Marty Field: RecSys challenge 2013. RecSys 2013: 489-490
Martin Ester: Recommendation in social networks. RecSys 2013: 491-492
Samaneh Moghaddam, Martin Ester: The FLDA model for aspect-based opinion mining: addressing the cold start problem. WWW 2013: 909-918
Martin Ester: Density-Based Clustering. Data Clustering: Algorithms and Applications 2013: 111-126
Wei Xie, Feida Zhu, Jing Jiang, Ee-Peng Lim, and Ke Wang. TopicSketch: Real-time Bursty Topic Detection from Twitter. ICDM, Dallas, Texas, December 7-10, 2013 (10 pages).
Peng Zhao, Xue Li and Ke Wang. Feature Extraction from Microblogs for Comparison of Products and Services. The 14th International Conference on Web Information System Engineering, 2013.
Yin Chu Yeh, Wenyuan Li, Adriel Lau, and Ke Wang. Identifying PCB Contaminated Transformers through Active Learning. Accepted by IEEE Transactions on Power Systems, 2013.
Chenyi Zhang, Jianling Sun, Ke Wang. Information Propagation in Microblog Networks. IEEE/ACM International Conference on Social Networks Analysis and Mining (ASONAM 2013)
Amin Milani Fard and Ke Wang. Neighborhood Randomization for Link Privacy in Social Network Analysis. Accepted by World Wide Web Journal, Special Issue on "Trusting Social Web", 2013.
Zhihui Guo, Wenyuan Li, Adriel Lau, Tito Inga-Rojas, Ke Wang. Trend Based Periodicity Detection for Load Curve Data. IEEE Power & Energy Society General Meeting, 2013
Cheng Long, Raymond Chi-Wing Wong, Ke Wang and Ada Wai-Chee Fu. Collective Spatial Keyword Queries: A Distance Owner-Driven Approach. SIGMOD 2013
R. Chen, B. C. M. Fung, N. Mohammed, B. C. Desai, and K. Wang. Privacy-preserving trajectory data publishing by local suppression. Information Sciences (INS), 231: 83-97 (2013): Special Issue on Data Mining for Information Security, Elsevier. [ ISI impact factor: 3.291, 5-year: 3.089 ]
Junqiang Liu and Ke Wang. Anonymizing Bag-valued Sparse Data by Semantic Similarity Based Clustering. KAIS,35(2): 435-461 (2013), 2013.
Yubao Liu, Raymond Chi-Wing Wong, Ke Wang, Zhijie Li, Cheng Chen, and Zhitong Chen. A New Approach for Maximizing Bichromatic Reverse Nearest Neighbor Search. KAIS, 36(1): 23-58 (2013), 2013.
2012
Junqiang Liu, Ke Wang, and Benjamin Fung. Direct Discovery of High Utility Itemsets without Candidate Generation. ICDM 2012.
A. M. Fard, K. Wang, P. Yu. Limiting Link Disclosure in Social Network Analysis through Subgraph-Wise Perturbation. EDBT 2012.
Hady Lauw, Ee Peng Lim, Ke Wang. Quality and Leniency in Online Collaborative Rating Systems. ACM Transactions on the Web (TWEB), Vol. 6, No. 1, March 2012.
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
Back to top2011
Phuong Dao, Kendric Wang, Colin Collins, Martin Ester, Anna Lapuk, Süleyman Cenk Sahinalp: Optimally discriminative subnetwork markers predict response to chemotherapy.Bioinformatics [ISMB/ECCB] 27(13): 205-213 (2011)
Samaneh Moghaddam, Mohsen Jamali, Martin Ester: Review recommendation: personalized prediction of the quality of online reviews. CIKM 2011: 2249-2252
Samaneh Moghaddam, Martin Ester: AQA: Aspect-based Opinion Question Answering. ICDM Workshops 2011: 89-96
Mohsen Jamali, Martin Ester: A Transitivity Aware Matrix Factorization Model for Recommendation in Social Networks. IJCAI 2011: 2644-2649
Mohsen Jamali, Tianle Huang, Martin Ester: A generalized stochastic block model for recommendation in social rating networks. RecSys 2011: 53-60
Mohammad A. Tayebi, Mohsen Jamali, Martin Ester, Uwe Glässer, Richard Frank: CrimeWalker: a recommendation model for suspect investigation. RecSys 2011: 173-180
Samaneh Moghaddam, Martin Ester: ILDA: interdependent LDA model for learning latent aspects and their ratings from online product reviews. SIGIR 2011: 665-674
Mohsen Jamali, Gholamreza Haffari, Martin Ester: Modeling the temporal dynamics of social rating networks using bidirectional effects of social relations and rating patterns. WWW 2011: 527-536
Patricia L. Brantingham, Martin Ester, Richard Frank, Uwe Glässer, Mohammad A. Tayebi: Co-offending Network Mining. Counterterrorism and Open Source Intelligence 2011: 73-102
Nigel Medforth, Ke Wang. Privacy Risk In Graph Stream Publishing For Social Network Applications. ICDM 2011.
Zhihui Guo, Wenyuan Li, Adriel Lau, Tito Inga-Rojas, and Ke Wang. Detecting X-Outliers in Load Curve Data in Power Systems. IEEE Transactions on Power Systems, Issue 99, Oct 2011.
Rong She, Jeffrey Shih-Chieh Chu, Bora Uyar, Jun Wang, Ke Wang and Nansheng Chen. genBlastG: extending BLAST to be a high performance gene finder. Bioinformatics (2011), Vol. 27, No. 15, 2141-2143, 2011
Shuaiqiang Wang, Byron Gao, Ke Wang, Hady W. Lauw. Parallel Learning to Rank for Information Retrieval. ACM SIGIR (poster) 2011.
Shuaiqiang Wang, Byron Gao, Ke Wang, Hady Lauw. CCRank: Parallel Learning to Rank with Cooperative Coevolution. AAAI Conference on Artificial Intelligence (AAAI) 2011.
R. Wong, A. Fu, K. Wang, J. Pei, P. Yu. Can the utility of anonymized data be used for privacy breaches? ACM Transactions on Knowledge Discovery from Data (TKDD), Vol. 5, No. 3, August 2011.
Zhengzheng Xing, Jian Pei, Philip S. Y, and Ke Wang. Interpretable Features for Early Classification on Time Series. SDM 2011.
2010
Christopher C. Yang, Daniel Zeng, Ke Wang, Antonio Sanfilippo, Herbert H. Tsang, Min-Yuh Day, Uwe Glässer, Patricia L. Brantingham, Hsinchun Chen: IEEE International Conference on Intelligence and Security Informatics, ISI 2010, Vancouver, BC, Canada, May 23-26, 2010, Proceedings IEEE 2010.
Ke Wang, Yabo Xu, Ada Fu, and Raymond Wong. Anonymizing Temporal Data. ICDM 2010.
Raymond Wong, Ada Fu, Ke Wang, Yabo Xu, Jian Pei, and Philip Yu. Probabilistic Inference Protection on Uncertain Data. ICDM 2010.
Jungqiang Liu and Ke Wang. Enforcing Vocabulary k-Anonymity by Semantic Similarity Based Clustering. ICDM 2010.
J. Chen, A. Lau, W. Li and K. Wang. Load Analyzer: a Software Tool for Load Data Analysis. CIGRE Canada 2010 Conference: Power System Solutions for a Cleaner, Greener World. Vancouver, 2010
Chaytor, R., Wang, K. Small Domain Randomization: Same Privacy, More Utility. The 36th International Conference on Very Large Data Bases (VLDB 2010).
Amin Milani Fard, Ke Wang.An Efficient Clustering Approach to Web Query Ananymization. SECRYPT 2010.
Junqiang Liu, Ke Wang. Anonymizing Transaction Data by Integrating Suppression and Generalizatioa. PAKDD 2010
Jiyi Chen, Wenyuan Li, Adriel Lau, Jiguo Cao and Ke Wang. Automated Load Curve Data Cleansing in Power Systems. IEEE Transactions on Smart Grid, September 2010, Vol. 1, No. 2, pp 213-221.
Y. Xu, K. Wang, R. C. W. Wong, A. Fu. Publishing Skewed Sensitive Microdata. SDM 2010
R. She, J. Chu, K. Wang, and N. Chen. Fast and Accurate Gene Prediction by Decision Tree Classification. SDM 2010
R. C. W. Wong, A. Fu, J. Liu, K. Wang, Y. Xu. Global Privacy Guarantee in Serial Data Publishing. ICDE 2010
J. Q. Liu and K. Wang. On Optimal Anonymization for l+-Diversity. ICDE 2010
Nancy 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: PSORTb 3.0: improved protein subcellular localization prediction with refined localization subcategories and predictive capabilities for all prokaryotes. Bioinformatics 26(13): 1608-1615 (2010)
Phuong Dao, Recep Colak, Raheleh Salari, Flavia Moser, Elai Davicioni, Alexander Schönhuth, Martin Ester: Inferring cancer subnetwork markers using density-constrained biclustering.Bioinformatics 26(18) (2010)
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
Wen Jin, Michael D. Morse, Jignesh M. Patel, Martin Ester, Zengjian Hu: Evaluating skylines in the presence of equijoins. ICDE 2010: 249-260
Mohsen Jamali, Martin Ester: Modeling and Comparing the Influence of Neighbors on the Behavior of Users in Social and Similarity Networks. ICDM Workshops 2010: 336-343
Mohsen Jamali, Martin Ester: A matrix factorization technique with trust propagation for recommendation in social networks. RecSys 2010: 135-142
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
Back to top2009
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)
Amin Milani Fard, Martin Ester: Collaborative Mining in Multiple Social Networks Data for Criminal Group Discovery. CSE (4) 2009: 582-587
Richard Frank, Martin Ester, Arno J. Knobbe: A multi-relational approach to spatial classification. KDD 2009: 309-318
Mohsen Jamali, Martin Ester: TrustWalker: a random walk model for combining trust-based and item-based recommendation. KDD 2009: 397-406
Recep Colak, Fereydoun Hormozdiari, Flavia Moser, Alexander Schönhuth, J. Holman, Martin Ester, Süleyman Cenk Sahinalp: Dense Graphlet Statistics of Protein Interaction and Random Networks. Pacific Symposium on Biocomputing 2009: 178-189
Mohsen Jamali, Martin Ester: Using a trust network to improve top-N recommendation. RecSys 2009: 181-188
Samaneh Moghaddam, Mohsen Jamali, Martin Ester, Jafar Habibi: FeedbackTrust: using feedback effects in trust-based recommendation systems. RecSys 2009: 269-272
Flavia Moser, Recep Colak, Arash Rafiey, Martin Ester: Mining Cohesive Patterns from Graphs with Feature Vectors. SDM 2009: 593-604
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
Benjamin C. M. Fung, Ke Wang, Martin Ester: Hierarchical Document Clustering. Encyclopedia of Data Warehousing and Mining 2009: 970-975
Martin Ester: Density-based Clustering. Encyclopedia of Database Systems 2009: 795-799
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)
Rhonda Chaytor, Ke Wang, Patricia Brantingham. Fine-Grain Perturbation for Privacy Preserving Data Publishing. ICDM 2009
Hady W. Lauw, Ee-Peng Lim, and Ke Wang. On Mining Rating Dependencies in Online Collaborative Rating Networks. PAKDD 2009
Yabo Xu, Ke Wang, Guoliang Yang, Ada Fu. Online Anonymity for Personalized Web Services. CIKM 2009
H. W. Lauw, L. E. Peng, K. Wang. On Mining Rating Dependencies in Online Collaborative Rating Networks. PAKDD 2009
B. C. M. Fung, K. Wang, L. Wang, and P. C. K. Hung. Privacy-Preserving Data Publishing for Cluster Analysis. Data & Knowledge Engineering (DKE). Vol. 68, Issue 6, June 2009, 552-575, Elsevier Science Publishers B. V
N. Mohammed, B. C. M. Fung, K. Wang, and P. C. K. Hung. Privacy-preserving data mashup. In Proceedings of the 12th International Conference on Extending Database Technology (EDBT 2009), Saint-Petersburg, Russia: ACM Press, March 2009.
K. Wang, Y. Xu, A. Fu, R. Wong. FF-Anonymity: When Quasi-Identifiers Are Missing. ICDE 2009
R. C. W. Wong, J. Li, A. W. C. Fu. and K. Wang. (alpha, k)-anonymous data publishing. Journal of Intelligent Information Sys tems, Volume 33, Number 2 / October, 2009
Xinghuo Zeng; Jian Pei; Ke Wang; Jinyan Li. PADS: A Simple Yet Effective Pattern-Aware Dynamic Search Method for Fast Maximal Frequent Pattern . Knowledge and Information Systems, Volume 20, Issue 3 (2009), Page 375
Raymond Chi-Wing Wong, Ada Wai-Chee Fu, Ke Wang, and Jian Pei. Anonymization based Attack in Privacy Preserving Data Publishing . ACM Transactions on Databases Systems (TODS), Volume 34, Issue 2, Jun., 2009
R. She, J. Chu, K. Wang, J. Pei, J. Chen. genBlastA: enabling BLAST to identify homologous gene sequences. Genome Research, January 2009 19:143-149; doi:10.1101/gr.082081.108 (2007 impact factor: 11.224)
R. Wong, J. Pei, A. Fu, K. Wang. Online Skyline Analysis with Dynamic Preferences on Nominal Attributes . TKDE, pp1-15, Vol. 21, No. 1, Jan., 2009
2008
Y. Xu, B. Fung, K. Wang, A. Fu, and J. Pei. Publishing Sensitive Transactions for Itemset Utility . ICDM 2008
Y. Xu, K. Wang, A. Fu and P. Yu. Anonymizing Transaction Databases for Publication . SIGKDD 2008
B. Fung, K. Wang, L. Wang, M. Debbabi. A framework for privacy-preserving cluster analysis . IEEE International Conference on Intelligence and Security Informatics, 2008.
Proceedings of the Eighth SIAM International Conference on Data Mining, 2008. Edited by Mohammed J. Zaki, Ke Wang, Chid Apte, and Haesun Park
H. W. Lauw, E. P. Lim, K. Wang. Bias and Controversy in Evaluation Systems. TKDE, Vol. 20, No. 11, pp. 1490-1504, Apr., 2008
B. Fung, K. Wang, A. Fu, J. Pei. Anonymity for Continuous Data Publishing . EDBT 2008.
X. Zeng, J. Pei, I. Vergaraz M. Nesbittz, K. Wang, N. Chen. OrthoCluster: A New Tool for Mining Syntenic Blocks and Applications in Comparative Genomics . EDBT 2008
Gabriela Moise, Jörg Sander, Martin Ester: Robust projected clustering. Knowl. Inf. Syst. 14(3): 273-298 (2008)
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)
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)
Wen Jin, Martin Ester, Zengjian Hu, Jiawei Han: The Multi-Relational Skyline Operator. ICDE 2007: 1276-1280
Ian Davidson, S. S. Ravi, Martin Ester: Efficient incremental constrained clustering. KDD 2007: 240-249
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
Rong Ge, Martin Ester, Wen Jin, Ian Davidson: Constraint-driven clustering. KDD 2007: 320-329
Back to top2007
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
Gabor Melli, Martin Ester, Anoop Sarkar: Recognition of Multi-sentence n-ary Subcellular Localization Mentions in Biomedical Abstracts. LBM (Short Papers) 2007
Richard Frank, Flavia Moser, Martin Ester: A Method for Multi-relational Classification Using Single and Multi-feature Aggregation Functions. PKDD 2007: 430-437
Richard Frank, Wen Jin, Martin Ester: Efficiently Mining Regional Outliers in Spatial Data. SSTD 2007: 112-129
Wen Jin, Anthony K. H. Tung, Martin Ester, Jiawei Han: On Efficient Processing of Subspace Skyline Queries on High Dimensional Data. SSDBM 2007: 12
Cuiping Li, Anthony K. H. Tung, Wen Jin, Martin Ester: On Dominating Your Neighborhood Profitably. VLDB 2007: 818-829
Oliver Schulte, Flavia Moser, Martin Ester, Zhiyong Lu: Association Rules in the Relational Calculus. CoRR abs/0710.2083 (2007)
R. She, K. Wang, A. Fu, Y. Xu. Computing Join Aggregates over Private Tables. Invited paper to DaWak 2007 Special Issue, International Journal of Data Warehousing and Mining (IJDWM), Vol. 4, Issue 4, Sept-Dec 2008
Y. Xu, K. Wang, A. Fu, R. She, and J. Pei. Privacy-preserving data stream classfication (Book Chapter), in Privacy-Preserving Data Models and Algorithms (Springer), Ed. C. Aggarwal, P. Yu, 2007.
R. Wong, A. Fu, K. Wang, and J. Pei. Minimality Attack in Privacy Preserving Data Publishing. VLDB 2007
R. Wong, J. Pei, A. Fu, and K. Wang. Mining Favorable Facets. SIGKDD 2007
R. She, K. Wang, A. Fu, Y. Xu. Computing Join Aggregates over Private Tables . DaWak 2007 [Best paper award]
Jian Pei, Jian Xu, Zhibin Wang, Wei Wang, Ke Wang. Maintaining K-Anonymity against Incremental Updates . SSDBM 2007
Y. Xu, B. Zhang, Z. Chen, K. Wang. Privacy-Enhancing Personalized Web Search. WWW 2007
H. W. Lauw, E. P. Lim, K. Wang. Summarizing Review Scores of Unequal Reviewers. SIAM International Conference on Data Mining 2007
B. Fung, K. Wang, P. S. Yu. Anonymizing Classification Data for Privacy Preservation. IEEE Transaction on Knowledge and Data Engineering 19(5) 711-725, 2007
K. Wang, B. C. M. Fung, and P. S. Yu. Handicapping Attacker's Confidence: An Alternative to k-Anonymization. Invited paper, Knowledge and Information Systems: An International Journal, 11(3):345-368, April 2007.
T. Jiang, A. H. Tan, K. Wang. Mining Generalized Associations of Semantic Relations from Textual Web Content. IEEE Transactions on Knowledge and Data Engineering Knowledge and Data Engineering, Special Issue on Semantic Web, Vol. 19 No. 2 2007.
2006
Y. T. Lai, K. Wang, D. Ling, H. Shi and J. Zhang. Direct Marketing When There Are Voluntary Buyers. ICDM 2006. "slides
Y. Xu, K. Wang, A. Fu, R. She and J. Pei. Classification Spanning Correlated Data Streams, CIKM 2006
K. Wang and B. Fung. Anonymizing Sequential Releases. SIGKDD 2006. Slides
H. W. Lauw, E. P. Lim, and K. Wang. Bias and Controversy: Beyond the Statistical Deviation. SIGKDD 2006
R. C. W. Wong, J. Li, A. W. C. Fu. and K. Wang. (alpha, k)-Anonymity: An Enhanced k-Anonymity Model for Privacy-Preserving Data Publishing. SIGKDD 2006
J. Pei, H. Wang, J. Liu, K. Wang, J. Wang, and P. S. YU. Discovering Frequent Closed Partial Orders from Strings. IEEE Transaction on Knowledge and Data Engineering, VOL. 18, NO. 11, NOVEMBER 2006
K. Wang, Y. Xu, R. She, P. Yu. Classification Spanning Private Databases. AAAI 2006
I. Pekerskaya, J. Pei, K. Wang. Miming changing regions from access-constrained snapshots: a cluster-embedded decision tree approach. Journal of Intelligent Information Systems, Special Issue on Mining Spatio-Temporal Data, Volume 27, Number 3, 215-242, November, 2006.
K. Wang, Y. Jiang, and A. Tuzhilin. Mining Actionable Patterns by Role Models. ICDE 2006.
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)
Byron J. Gao, Martin Ester: Right of Inference: Nearest Rectangle Learning Revisited. ECML 2006: 638-645
Byron J. Gao, Martin Ester: Turning Clusters into Patterns: Rectangle-Based Discriminative Data Description. ICDM 2006: 200-211
Gabriela Moise, Jörg Sander, Martin Ester: P3C: A Robust Projected Clustering Algorithm. ICDM 2006: 414-425
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
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: 246-257
Feng Cao, Martin Ester, Weining Qian, Aoying Zhou: Density-Based Clustering over an Evolving Data Stream with Noise. SDM 2006: 328-339
Byron J. Gao, Martin Ester: Cluster Description Formats, Problems and Algorithms. SDM 2006: 464-468
Rong Ge, Martin Ester, Wen Jin, Zengjian Hu: A Disc-based Approach to Data Summarization and Privacy Preservation. SSDBM 2006: 321-332
Back to top2005
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)
Wen Jin, Martin Ester, Jiawei Han: Efficient Processing of Ranked Queries with Sweeping Selection. PKDD 2005: 527-535
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
Martin Ester, Rong Ge, Wen Jin, Zengjian Hu: A microeconomic data mining problem: customer-oriented catalog segmentation. KDD 2004: 557-562
Wen Jin, Jiawei Han, Martin Ester: Mining Thick Skylines over Large Databases. PKDD 2004: 255-266
Y. Jiang, K. Wang, A. Tuzhilin, and A. Fu. Mining Patterns That Respond to Actions. ICDM 2005.
K. Wang, B. Fung, and P. Yu. Template-Based Privacy Preservation in Classification Problems. ICDM 2005.
A. Fu, R. Wong, and K. Wang. Privacy-Preserving Frequent Pattern Mining across Private Databases. ICDM 2005.
J. Pei, J. Liu, H. Wang, K. Wang, P. Yu and J. Wang. Efficiently Mining Frequent Closed Partial Orders (Extended Abstract) ICDM 2005.
S. Zhou and K. Wang. Localization Site Prediction for Membrane Proteins by Integrating Rule and SVM Classification. IEEE Transaction on Knowledge and Data Engineering, Vol. 17, No. 10, December 2005
M. Choy, J. Pei and K. Wang. Answering Ad Hoc Aggregate Queries from Data Streams Using Prefix Aggregate Trees, KAIS: Knowledge and Information Systems - An International Journal, 2005.
R.C.W. Wong, A. Fu and K. Wang. Data mining for inventory item selection with cross-selling considerations. Journal of Data Mining and Knowledge Discovery, Volume 11, 2005, 81-112
K. Wang, S. Zhou, Q. Yang and J.M.S. Yeung. Mining customer value: from association rules to direct marketing. Journal of Data Mining and Knowledge Discovery, Vol. 11, No. 1, July 2005, 57-80
K. Wang, B. Fung and G. Dong. Integrating private databases for data analysis. IEEE International Conference on Intelligence and Security Informatics 2005 (IEEE ISI-2005), 171-182 Springer-Verlag
K. Wang, Y. Xu, P. S. Yu, and R. She. Building decision trees on records linked through key references. SIAM International Conference on Data Mining (SDM) 2005
R. She, K. Wang, Y. Xu and P.S. Yu. Pushing feature selection ahead of join. SIAM International Conference on Data Mining (SDM) 2005
B. Fung, K. Wang and P. Yu. Top-Down Specialization for Information and Privacy Preservation. ICDE 2005, 205-216, Software, Slides
K. Wang, J. Yuelong, J. Yu, G. Dong and J. Han. Divide-and-Approximate: a novel constraint push strategy for iceberg cube mining. IEEE Transaction on Knowledge and Data Engineering, Vol. 17, No. 3, March 2005, 354-368
2004
B. Fung, K. Wang and M. Ester. Hierarchical document clustering. The Encyclopedia of Data Warehousing and Mining, Idea Group Reference, 2004.
S. Zhou and K. Wang. Profit mining. The Encyclopedia of Data Warehousing and Mining, Idea Group Reference, 2004.
K. Wang, Y. Xu, J. Yu. Scalable sequential pattern mining for biological sequences. Thirteenth Conference on Information and Knowledge Management 2004 (CIKM 2004), Nov, 2004.
K. Wang, P. Yu, and S. Chakraborty. Bottom-up generalization: a data mining solution to privacy protection. ICDM 2004
G. Dong, J. Han, J. Lam, J. Pei, K. Wang, W. Zou. Mining constrained gradients in large databases. IEEE Transaction on Knowledge and Data Engineering, Vol 16, No. 8, August 2004 (also available here
Q. Yang, T. Li, K. Wang. Building association rule based sequential classifiers for web document prediction. Journal of Data Mining and Knowledge Discovery, 8(3), 253-273, 2004. Also available here
Martin Ester, Xiang Zhang: A Top-Down Method for Mining Most-Specific Frequent Patterns in Biological Sequences. SDM 2004: 90-101
Martin Ester, Hans-Peter Kriegel, Matthias Schubert: Accurate and Efficient Crawling for Relevant Websites. VLDB 2004: 396-407
Back to top2003
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)
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)
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
Stefan Holland, Martin Ester, Werner Kießling: Preference Mining: A Novel Approach on Mining User Preferences for Personalized Applications. PKDD 2003: 204-216
Benjamin C. M. Fung, Ke Wang, Martin Ester: Hierarchical Document Clustering using Frequent Itemsets. SDM 2003: 59-70
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
R. She, F. Chen, K. Wang, M. Ester, J. L. Gardy, F. S. L. Brinkman. Identifying bacterial outer membrane proteins using frequent subsequences - a data mining approach, ISMB03 (Intelligent Systems for Molecular Biology, 2003), Brisbane, July, 2003
R. C. W. Wong, A. W. C. Fu, K. Wang. MPIS: Maximal-profit item selection with cross-selling considerations. ICDM, Melbourne, Nov, 2003
R. She, F. Chen, K. Wang, M. Ester, J. L. Gardy, F. S. L. Brinkman. Frequent-subsequence-based prediction of outer membrane proteins". SIGKDD 2003, Washington D.C., August, 2003, Slides
K. Wang, Y. Jiang, L. V.S. Lakshmanan. Mining unexpected rules by pushing user dynamics". SIGKDD 2003, Washington D.C., August, 2003, Slides
Jennifer Gardy, Cory Spencer, Ke Wang, Martin Ester, Tusnady GE, Simon, Sujun Hua, Katalin deFays, Christophe Lamb ert, Kenta Nakai, Fiona Brinkman. PSORT-B: Improving protein subcellular localization prediction for Gram-negative bacteria. Special web software issue, Nucleic Acids Research, Vol. 31, No. 13, 1-5, July 2003 ( a web-based version of the PSORT-B software for prediction of protein subcellular localization for Gram-negative bacteria )
K. Wang, S. Zhou, A. Fu, J. Yu. Mining changes of classification by correspondence tracing. SIAM International Conference on Data Mining 2003, May 2003, San Francisco Slides
B. C.M. Fung, K. Wang, M. Ester. Hierarchical document clustering using frequent itemsets SIAM International Conference on Data Mining 2003, San Francisco Slides , Software
Q. Yang, T. Li and K. Wang. Web-log cleaning for constructing Sequential classifiers International Journal of Applied Artificial Intelligence, Vol. 17, No. 5, Special Issue on Data Cleaning and Data Preparation in Data Mining. May/June 2003.
K. Wang, Y. He, J. Han Pushing support constraints into association rules mining, IEEE Transaction on Knowledge and Data Engineering, Vol. 15, No. 3, May/June 2003, 642-658
K. Wang, Y. Jiang, J. X. Yu, G. Dong, J. Han. Pushing aggregate constraints by divide-and-approximate, ICDE 2003, Bangalore, India, Slides
K. Wang, S. Zhou, J. M. S. Yeung, Q. Yang. Mining customer value: from association rules to direct marketing, ICDE 2003, Bangalore, India
2002
Eric Ka Ka Ng, Ada Wai-chee Fu, Ke Wang, "Mining association rules from stars" The 2002 IEEE International Conference on Data Mining, Maebashi TERRSA, Maebashi City, Japan, December 9 - 12, 2002
Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han "Mining frequent item sets by opportunistic projection" SIGKDD 2002, Edmonton, Slides
Ke Wang and Ming-Yen Su "Item selection by "hub-authority" profit ranking" SIGKDD 2002, Edmonton, Slides
Jiawei Han, Jianyong Wang, Guozhu Dong, Jian Pei, Ke Wang "CubeExplorer: online exploration of data cubes" SIGMOD 2002 system demo paper
Ke Wang, Liu Tang, Jiawei Han, Junqiang Liu "Top down FP-Growth for association rule mining" , the 6th Pacific Area Conference on Knowledge Discovery and Data Mining (PAKDD-2002), May 6-8, Taipei, Taiwan. Slides
Gao Cong, Lan Yi, Bing Liu and Ke Wang "Discovering frequent substructures from hierarchical semi-structured data", the Second SIAM International Conference on Data Mining (SDM-2002), April 11-13, 2002, Hyatt Regency, Crystal City, Arlington, VA, USA
Ke Wang, Senqiang Zhou, Jiawei Han "Profit mining: from patterns to actions", 2002 International Conference on Extending Database Technology (EDBT 2002). Slides
Florian Beil, Martin Ester, Xiaowei Xu: Frequent term-based text clustering. KDD 2002: 436-442
Kai Yu, Xiaowei Xu, Jianjua Tao, Martin Ester, Hans-Peter Kriegel: Instance Selection Techniques for Memory-based Collaborative Filtering. SDM 2002: 59-74
Back to top2001
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)
Kai Yu, Xiaowei Xu, Martin Ester, Hans-Peter Kriegel: Selecting Relevant Instances for Efficient and Accurate Collaborative Filtering. CIKM 2001: 239-246
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
Ke Wang, Yu He, David Cheung, Francis Chin "Mining confident rulees without support requirement" , the 10th ACM International Conference on Information and Knowledge Management (CIKM 2001), Atlanta. Slides
Helen Pinto, Jiawei Han, Jian Pei, Ke Wang, Qiming Chen, Umeshwar Dayal "Multi-dimensional sequential pattern mining" , the 10th ACM Intednational Conference on Information and Knowledge Management (CIKM 2001), Atlanta. Slides
Guozhu Dong, Jiawei Han, Joyce Lam, Jian Pei, Ke Wang "Mining multi-dimensional constrained gradients in data cubes" , VLDB 2001
Ian Tianyi Li, Qiang Yang, Ke Wang "Classification pruning for web-request prediction" , 10th International Conference on WWW, 2001
Sonny H.S. Chee, Jiawei Han, Ke Wang "RecTree: An efficient collaborative filtering method" , Data Warehousing and Knowledge Discovery (DaWaK), Munich, Germany, Sept. 2001
Jiawei Han, Jian Pei, Guozhu Dong, Ke Wang "Efficient computation of iceberg cubes with complex measures", ACM SIGMOD 2001.
K. Wang, H.Q. Liu, "Mining Is-Part-of association patterns from semistructured data", the 9th IFIP 2.6 Working Conference on Database Semantics (DS-9), April 2001, Hong Kong
K. Wang, S. Zhou, Y. He, " Hierarchical classification of real life documents", the First SIAM International Conference on Data Mining, April 2001, Chicago. Slides
K. Wang, Y. He, "User-defined association Mining", PAKDD 2001, April, 2001, Hong Kong. Slides
Back to top2000
K. Wang, Y. He, J. Han, "Mining frequent itemsets using support constraints", VLDB 2000, Cairo, Sept 2000, 43-52. Slides
K. Wang, S. Zhou, Y. He, "Growing decision trees on support-less association rules", SIGKDD 2000, Boston, August 2000, 265-269, Software
K. Wang, H.Q. Liu, "Discovering association of structure from semistructured objects". IEEE Transactions on Knowledge and Data Engineering, Vol 12, No. 3, May/June 2000, 353-371
W. Zhang and K. Wang, "An efficient evaluation of a fuzzy equi-join using fuzzy equality indicators". The IEEE Transactions on Knowledge and Data Engineering, Vol. 12, No. 2, March/April, 2000, 225-237
Martin Ester, Jörg Sander: Knowledge Discovery in Databases - Techniken und Anwendungen. Springer 2000, ISBN 3-540-67328-8
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)
Bernhard Braunmüller, Martin Ester, Hans-Peter Kriegel, Jörg Sander: Efficiently Supporting Multiple Similarity Queries for Mining in Metric Databases. ICDE 2000: 256-267
Martin Ester, Jörn Kohlhammer, Hans-Peter Kriegel: The DC-Tree: A Fully Dynamic Index Structure for Data Warehouses. ICDE 2000: 379-388
Mihael Ankerst, Martin Ester, Hans-Peter Kriegel: Towards an effective cooperation of the user and the computer for classification. KDD 2000: 179-188
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