Data mining, classification, clustering bibliography

2006

 * Efficiently Evaluating Order Preserving Similarity Queries over Historical Market-Basket Data. Reza Sherkat, Davood Rafiei. ICDE 2006. (data mining and optimization)
 * Mining Actionable Patterns by Role Models. Ke Wang, Yuelong Jiang, Alexander Tuzhilin. ICDE 2006. (data mining and optimization)
 * New Sampling-Based Estimators for OLAP Queries. Ruoming Jin, Leo Glimcher, Chris Jermaine, Gagan Agrawal. ICDE 2006. (data mining and optimization)
 * Systematic Approach for Optimizing Complex Mining Tasks on Multiple Databases. Ruoming Jin, Gagan Agrawal. ICDE 2006. (data mining and optimization)

2005

 * CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques. Mohammed Javeed Zaki, Markus Peters. ICDE 2005. (clustering)
 * Clustering Aggregation. Aristides Gionis, Heikki Mannila, Panayiotis Tsaparas. ICDE 2005. (clustering)
 * Discovering Large Dense Subgraphs in Massive Graphs. David Gibson, Ravi Kumar, Andrew Tomkins. VLDB 2005. (data mining)
 * Mining Closed Relational Graphs with Connectivity Constraints. Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han. ICDE 2005. (clustering)
 * Mining Compressed Frequent-Pattern Sets. Dong Xin, Jiawei Han, Xifeng Yan, Hong Cheng. VLDB 2005. (data mining)
 * Mining Cross-Graph Quasi-Cliques in Gene Expression and Protein Interaction Data. Jian Pei, Daxin Jiang, Aidong Zhang. ICDE 2005. (clustering)
 * Mining Top-k Covering Rule Groups for Gene Expression Data. Gao Cong, Kian-Lee Tan, Anthony K. H. Tung, Xin Xu. ACM SIGMOD Conference 2005. (mining biological and medical data)
 * On Discovery of Extremely Low-Dimensional Clusters using Semi-Supervised Projected Clustering. Kevin Y. Yip, David W. Cheung, Michael K. Ng. ICDE 2005. (clustering)
 * Streaming Pattern Discovery in Multiple Time-Series. Spiros Papadimitriou, Jimeng Sun, Christos Faloutsos. VLDB 2005. (data mining)
 * Subsequence Matching on Structured Time Series Data. Huanmei Wu, Betty Salzberg, Gregory C. Sharp, Steve B. Jiang, Hiroki Shirato, David R. Kaeli. ACM SIGMOD Conference 2005. (mining biological and medical data)
 * TriCluster: An Effective Algorithm for Mining Coherent Clusters in 3D Microarray Data. Lizhuang Zhao, Mohammed J. Zaki. ACM SIGMOD Conference 2005. (mining biological and medical data)

2004

 * A Frequency-based Approach for Mining Coverage Statistics in Data Integration. Zaiqing Nie, Subbarao Kambhampati. ICDE 2004. (data mining)
 * An Efficient Algorithm for Mining Frequent Sequences by a New Strategy without Support Counting. Ding-Ying Chiu, Yi-Hung Wu, Arbee L. P. Chen. ICDE 2004. (data mining)
 * BIDE: Efficient Mining of Frequent Closed Sequences. Jianyong Wang, Jiawei Han. ICDE 2004. (data mining)
 * Clustering Objects on a Spatial Network. Man Lung Yiu, Nikos Mamoulis. ACM SIGMOD Conference 2004. (clustering)
 * Clustering via Matrix Powering. Hanson Zhou, David P. Woodruff. PODS 2004. (clustering, data mining, approximations)
 * Computational Complexity of Itemset Frequency Satisfiability. Toon Calders. PODS 2004. (clustering, data mining, approximations)
 * Computing Clusters of Correlation Connected Objects. Christian B&ouml;hm, Karin Kailing, Peer Kr&ouml;ger, Arthur Zimek. ACM SIGMOD Conference 2004. (clustering)
 * Cost-Based Labeling of Groups of Mass Spectra. Lei Chen, Zheng Huang, Raghu Ramakrishnan. ACM SIGMOD Conference 2004. (data mining applications)
 * CrossMine: Efficient Classification Across Multiple Database Relations. Xiaoxin Yin, Jiawei Han, Jiong Yang, Philip S. Yu. ICDE 2004. (data mining)
 * Deterministic Wavelet Thresholding for Maximum-Error Metrics. Minos N. Garofalakis, Amit Kumar. PODS 2004. (clustering, data mining, approximations)
 * Diamond in the Rough: Finding Hierarchical Heavy Hitters in Multi-Dimensional Data. Graham Cormode, Flip Korn, S. Muthukrishnan, Divesh Srivastava. ACM SIGMOD Conference 2004. (data mining applications)
 * Efficient Similarity Search in Large Databases of Tree Structured Objects. Karin Kailing, Hans-Peter Kriegel, Stefan Sch&ouml;nauer, Thomas Seidl. ICDE 2004. (poster, indexing, clustering, data mining)
 * FARMER: Finding Interesting Rule Groups in Microarray Datasets. Gao Cong, Anthony K. H. Tung, Xin Xu, Feng Pan, Jiong Yang. ACM SIGMOD Conference 2004. (data mining applications)
 * Identifying Similarities, Periodicities and Bursts for Online Search Queries. Michail Vlachos, Christopher Meek, Zografoula Vagena, Dimitrios Gunopulos. ACM SIGMOD Conference 2004. (data mining applications)
 * Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering. Samer Nassar, J&ouml;rg Sander, Corrine Cheng. ACM SIGMOD Conference 2004. (clustering)
 * Mining Frequent Labeled and Partially Labeled Graph Patterns. N. Vanetik, Ehud Gudes. ICDE 2004. (data mining)
 * Mining the Web for Generating Thematic Metadata from Textual Data. Chien-Chung Huang, Shui-Lung Chuang, Lee-Feng Chien. ICDE 2004. (poster, indexing, clustering, data mining)
 * On Local Pruning of Association Rules Using Directed Hypergraphs. Sanjay Chawla, Joseph Davis, Gaurav Pandey. ICDE 2004. (poster, indexing, clustering, data mining)
 * Privacy Preservation for Data Cubes. Sam Yuan Sung, Yao Liu, Peter A. Ng. ICDE 2004. (poster, indexing, clustering, data mining)
 * Probe, Cluster, and Discover: Focused Extraction of QA-Pagelets from the Deep Web. James Caverlee, Ling Liu, David Buttler. ICDE 2004. (data mining)
 * SQUIRE: Sequential Pattern Mining with Quantities. Chulyun Kim, Jong-Hwa Lim, Raymond T. Ng, Kyuseok Shim. ICDE 2004. (poster, indexing, clustering, data mining)
 * Scaling Clustering Algorithms for Massive Data Sets using Data Streams. Silvia Nittel, Kelvin T. Leung, Amy Braverman. ICDE 2004. (poster, indexing, clustering, data mining)
 * Spectral Analysis of Text Collection for Similarity-based Clustering. Wenyuan Li, Wee Keong Ng, Ee-Peng Lim. ICDE 2004. (poster, indexing, clustering, data mining)
 * Using vTree Indices for Queries over Objects with Complex Motions. Sandeep Gupta, Chinya V. Ravishankar. ICDE 2004. (poster, indexing, clustering, data mining)
 * XJoin Index: Indexing XML Data for Efficient Handling of Branching Path Expressions. Elisa Bertino, Barbara Catania, Wen Qiang Wang. ICDE 2004. (poster, indexing, clustering, data mining)
 * k-Means Projective Clustering. Pankaj K. Agarwal, Nabil H. Mustafa. PODS 2004. (clustering, data mining, approximations)

2003

 * A Shrinking-Based Approach for Multi-Dimensional Data Analysis. Yong Shi, Yuqing Song, Aidong Zhang. VLDB 2003. (data mining)
 * Adaptive, Hands-Off Stream Mining. Spiros Papadimitriou, Anthony Brockwell, Christos Faloutsos. VLDB 2003. (data quality, data mining)
 * COMBI-Operator: Database Support for Data Mining Applications. Alexander Hinneburg, Wolfgang Lehner, Dirk Habich. VLDB 2003. (data mining)
 * Checks and Balances: Monitoring Data Quality Problems in Network Traffic Databases. Flip Korn, S. Muthukrishnan, Yunyue Zhu. VLDB 2003. (data quality, data mining)
 * Data Bubbles for Non-Vector Data: Speeding-up Hierarchical Clustering in Arbitrary Metric Spaces. Jianjun Zhou, J&ouml;rg Sander. VLDB 2003. (data mining)
 * Feasible itemset distributions in data mining: theory and application. Ganesh Ramesh, William Maniatty, Mohammed Javeed Zaki. PODS 2003. (integration and mining)
 * How to quickly find a witness. Daniel Kifer, Johannes Gehrke, Cristian Bucila, Walker M. White. PODS 2003. (integration and mining)
 * On the decidability and complexity of query answering over inconsistent and incomplete databases. Andrea Cal&igrave;, Domenico Lembo, Riccardo Rosati. PODS 2003. (integration and mining)
 * Systematic Development of Data Mining-Based Data Quality Tools. Dominik L&uuml;bbers, Udo Grimmer, Matthias Jarke. VLDB 2003. (data quality, data mining)
 * What's hot and what's not: tracking most frequent items dynamically. Graham Cormode, S. Muthukrishnan. PODS 2003. (integration and mining)

2002

 * A Monte Carlo algorithm for fast projective clustering. Cecilia Magdalena Procopiuc, Michael Jones, Pankaj K. Agarwal, T. M. Murali. ACM SIGMOD Conference 2002. (data mining)
 * Clustering by pattern similarity in large data sets. Haixun Wang, Wei Wang, Jiong Yang, Philip S. Yu. ACM SIGMOD Conference 2002. (data mining)
 * Mining long sequential patterns in a noisy environment. Jiong Yang, Wei Wang, Philip S. Yu, Jiawei Han. ACM SIGMOD Conference 2002. (data mining)

2001

 * A Sequential Pattern Query Language for Supporting Instant Data Mining for e-Services. Reza Sadri, Carlo Zaniolo, Amir M. Zarkesh, Jafar Adibi. VLDB 2001. (applications track, data analysis and mining)
 * A condensed representation to find frequent patterns. Artur Bykowski, Christophe Rigotti. PODS 2001. (data mining)
 * An Efficient Approximation Scheme for Data Mining Tasks. George Kollios, Dimitrios Gunopulos, Nick Koudas, Stefan Berchtold. ICDE 2001. (data mining/frequent item sets)
 * B+ Tree Indexes with Hybrid Row Identifiers in Oracle 8i. Eugene Inseok Chong, Souripriya Das, Chuck Freiwald, Jagannathan Srinivasan, Aravind Yalamanchi, Mahesh Jagannath, Anh-Tuan Tran, Ramkumar Krishnan. ICDE 2001. (indexing and clustering)
 * B-Tree Indexes and CPU Caches. Goetz Graefe, Per-&Aring;ke Larson. ICDE 2001. (indexing and clustering)
 * C2P: Clustering based on Closest Pairs. Alexandros Nanopoulos, Yannis Theodoridis, Yannis Manolopoulos. VLDB 2001. (regular paper, data mining and clustering)
 * Communication Efficient Distributed Mining of Association Rules. Assaf Schuster, Ran Wolff. ACM SIGMOD Conference 2001. (sampling and association rules)
 * Data Bubbles: Quality Preserving Performance Boosting for Hierarchical Clustering. Markus M. Breunig, Hans-Peter Kriegel, Peer Kr&ouml;ger, J&ouml;rg Sander. ACM SIGMOD Conference 2001. (classification and clustering)
 * MAFIA: A Maximal Frequent Itemset Algorithm for Transactional Databases. Douglas Burdick, Manuel Calimlim, Johannes Gehrke. ICDE 2001. (data mining/frequent item sets)
 * Mining Frequent Item Sets with Convertible Constraints. Jian Pei, Jiawei Han, Laks V. S. Lakshmanan. ICDE 2001. (data mining/frequent item sets)
 * Mining Multi-Dimensional Constrained Gradients in Data Cubes. Guozhu Dong, Jiawei Han, Joyce M. W. Lam, Jian Pei, Ke Wang. VLDB 2001. (regular paper, data mining and clustering)
 * Mining Needle in a Haystack: Classifying Rare Classes via Two-phase Rule Induction. Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar. ACM SIGMOD Conference 2001. (classification and clustering)
 * Mining Partially Periodic Event Patterns with Unknown Periods. Sheng Ma, Joseph L. Hellerstein. ICDE 2001. (data mining from patterns)
 * NetCube: A Scalable Tool for Fast Data Mining and Compression. Dimitris Margaritis, Christos Faloutsos, Sebastian Thrun. VLDB 2001. (regular paper, data mining and clustering)
 * On Dual Mining: From Patterns to Circumstances, and Back. G&ouml;sta Grahne, Laks V. S. Lakshmanan, Xiaohong Wang, Ming Hao Xie. ICDE 2001. (data mining from patterns)
 * On the Design and Quantification of Privacy Preserving Data Mining Algorithms. Dakshi Agrawal, Charu C. Aggarwal. PODS 2001. (data mining)
 * On the Effects of Dimensionality Reduction on High Dimensional Similarity Search. Charu C. Aggarwal. PODS 2001. (data mining)
 * PrefixSpan: Mining Sequential Patterns by Prefix-Projected Growth. Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Helen Pinto, Qiming Chen, Umeshwar Dayal, Meichun Hsu. ICDE 2001. (data mining from patterns)
 * Probe, Count, and Classify: Categorizing Hidden Web Databases. Panagiotis G. Ipeirotis, Luis Gravano, Mehran Sahami. ACM SIGMOD Conference 2001. (classification and clustering)
 * Scientific OLAP for the Biotech Domain. Nam Huyn. VLDB 2001. (applications track, data analysis and mining)
 * Selectivity Estimation for Spatial Joins. Ning An, Zhen-Yu Yang, Anand Sivasubramaniam. ICDE 2001. (indexing and clustering)
 * Selectivity Estimation using Probabilistic Models. Lise Getoor, Benjamin Taskar, Daphne Koller. ACM SIGMOD Conference 2001. (sampling and association rules)
 * Spatial Clustering in the Presence of Obstacles. Anthony K. H. Tung, Jean Hou, Jiawei Han. ICDE 2001. (indexing and clustering)
 * Using the Golden Rule of Sampling for Query Estimation. Yi-Leh Wu, Divyakant Agrawal, Amr El Abbadi. ACM SIGMOD Conference 2001. (sampling and association rules)
 * Warehousing Workflow Data: Challenges and Opportunities. Angela Bonifati, Fabio Casati, Umeshwar Dayal, Ming-Chien Shan. VLDB 2001. (applications track, data analysis and mining)

2000

 * CMP: A Fast Decision Tree Classifier Using Multivariate Predictions. Haixun Wang, Carlo Zaniolo. ICDE 2000. (new trends in data mining)
 * Computational Properties of Metaquerying Problems. Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Giovambattista Ianni, Luigi Palopoli. PODS 2000. (data mining / information dependencies)
 * DEMON: Mining and Monitoring Evolving Data. Venkatesh Ganti, Johannes Gehrke, Raghu Ramakrishnan. ICDE 2000. (new trends in data mining)
 * Data Mining on an OLTP System (Nearly) for Free. Erik Riedel, Christos Faloutsos, Gregory R. Ganger, David Nagle. ACM SIGMOD Conference 2000. (data mining)
 * Density Biased Sampling: An Improved Method for Data Mining and Clustering. Christopher R. Palmer, Christos Faloutsos. ACM SIGMOD Conference 2000. (clustering)
 * Design and Implementation of a Genetic-Based Algorithm for Data Mining. Sunil Choenni. VLDB 2000. (data mining)
 * Designing and Mining Multi-Terabyte Astronomy Archives: The Sloan Digital Sky Survey. Alexander S. Szalay, Peter Z. Kunszt, Ani Thakar, Jim Gray, Donald R. Slutz. ACM SIGMOD Conference 2000. (data mining)
 * Dynamic Miss-Counting Algorithms: Finding Implication and Similarity Rules with Confidence Pruning. Shinji Fujiwara, Jeffrey D. Ullman, Rajeev Motwani. ICDE 2000. (association rules and correlations)
 * Efficient Algorithms for Mining Outliers from Large Data Sets. Sridhar Ramaswamy, Rajeev Rastogi, Kyuseok Shim. ACM SIGMOD Conference 2000. (data mining)
 * Efficient Mining of Constrained Correlated Sets. G&ouml;sta Grahne, Laks V. S. Lakshmanan, Xiaohong Wang. ICDE 2000. (association rules and correlations)
 * FALCON: Feedback Adaptive Loop for Content-Based Retrieval. Leejay Wu, Christos Faloutsos, Katia P. Sycara, Terry R. Payne. VLDB 2000. (learning from data)
 * Finding Generalized Projected Clusters In High Dimensional Spaces. Charu C. Aggarwal, Philip S. Yu. ACM SIGMOD Conference 2000. (clustering)
 * Finding Interesting Associations without Support Pruning. Edith Cohen, Mayur Datar, Shinji Fujiwara, Aristides Gionis, Piotr Indyk, Rajeev Motwani, Jeffrey D. Ullman, Cheng Yang. ICDE 2000. (association rules and correlations)
 * Information Dependencies. Mehmet M. Dalkilic, Edward L. Robertson. PODS 2000. (data mining / information dependencies)
 * LOF: Identifying Density-Based Local Outliers. Markus M. Breunig, Hans-Peter Kriegel, Raymond T. Ng, J&ouml;rg Sander. ACM SIGMOD Conference 2000. (clustering)
 * Mining Frequent Itemsets Using Support Constraints. Ke Wang, Yu He, Jiawei Han. VLDB 2000. (data mining)
 * Mining Frequent Patterns without Candidate Generation. Jiawei Han, Jian Pei, Yiwen Yin. ACM SIGMOD Conference 2000. (data mining)
 * Mining Recurrent Items in Multimedia with Progressive Resolution Refinement. Osmar R. Za&iuml;ane, Jiawei Han, Hua Zhu. ICDE 2000. (new trends in data mining)
 * Privacy-Preserving Data Mining. Rakesh Agrawal, Ramakrishnan Srikant. ACM SIGMOD Conference 2000. (data mining)
 * The 3W Model and Algebra for Unified Data Mining. Theodore Johnson, Laks V. S. Lakshmanan, Raymond T. Ng. VLDB 2000. (data mining)
 * Toward Learning Based Web Query Processing. Yanlei Diao, Hongjun Lu, Songting Chen, Zengping Tian. VLDB 2000. (learning from data)
 * Traversing Itemset Lattice with Statistical Metric Pruning. Shinichi Morishita, Jun Sese. PODS 2000. (data mining / information dependencies)
 * Turbo-charging Vertical Mining of Large Databases. Pradeep Shenoy, Jayant R. Haritsa, S. Sudarshan, Gaurav Bhalotia, Mayank Bawa, Devavrat Shah. ACM SIGMOD Conference 2000. (data mining)
 * User-Adaptive Exploration of Multidimensional Data. Sunita Sarawagi. VLDB 2000. (learning from data)

1999

 * A Novel Index Supporting High Volume Data Warehouse Insertion. Chris Jermaine, Anindya Datta, Edward Omiecinski. VLDB 1999. (data mining &amp; pattern extraction)
 * BOAT-Optimistic Decision Tree Construction. Johannes Gehrke, Venkatesh Ganti, Raghu Ramakrishnan, Wei-Yin Loh. ACM SIGMOD Conference 1999. (data mining, association rules and decision trees)
 * Clustering Large Datasets in Arbitrary Metric Spaces. Venkatesh Ganti, Raghu Ramakrishnan, Johannes Gehrke, Allison L. Powell, James C. French. ICDE 1999. (data clustering)
 * Constraint-Based Rule Mining in Large, Dense Databases. Roberto J. Bayardo Jr., Rakesh Agrawal, Dimitrios Gunopulos. ICDE 1999. (data mining)
 * Data Organization and Access for Efficient Data Mining. Brian Dunkel, Nandit Soparkar. ICDE 1999. (data clustering)
 * Dynamic Load Balancing for Parallel Association Rule Mining on Heterogenous PC Cluster Systems. Masahisa Tamura, Masaru Kitsuregawa. VLDB 1999. (data mining algorithms)
 * Efficient Mining of Partial Periodic Patterns in Time Series Database. Jiawei Han, Guozhu Dong, Yiwen Yin. ICDE 1999. (data mining)
 * Efficient Time Series Matching by Wavelets. Kin-pong Chan, Ada Wai-Chee Fu. ICDE 1999. (data mining)
 * Fast Algorithms for Projected Clustering. Charu C. Aggarwal, Cecilia Magdalena Procopiuc, Joel L. Wolf, Philip S. Yu, Jong Soo Park. ACM SIGMOD Conference 1999. (clustering)
 * Finding Intensional Knowledge of Distance-Based Outliers. Edwin M. Knorr, Raymond T. Ng. VLDB 1999. (data mining &amp; pattern extraction)
 * Histogram-Based Approximation of Set-Valued Query-Answers. Yannis E. Ioannidis, Viswanath Poosala. VLDB 1999. (data mining algorithms)
 * Mining Optimized Support Rules for Numeric Attributes. Rajeev Rastogi, Kyuseok Shim. ICDE 1999. (data mining)
 * OPTICS: Ordering Points To Identify the Clustering Structure. Mihael Ankerst, Markus M. Breunig, Hans-Peter Kriegel, J&ouml;rg Sander. ACM SIGMOD Conference 1999. (clustering)
 * Online Association Rule Mining. Christian Hidber. ACM SIGMOD Conference 1999. (data mining, association rules and decision trees)
 * Optimization of Constrained Frequent Set Queries with 2-variable Constraints. Laks V. S. Lakshmanan, Raymond T. Ng, Jiawei Han, Alex Pang. ACM SIGMOD Conference 1999. (data mining, association rules and decision trees)
 * Parallel Classification for Data Mining on Shared-Memory Multiprocessors. Mohammed Javeed Zaki, Ching-Tien Ho, Rakesh Agrawal. ICDE 1999. (data mining)
 * ROCK: A Robust Clustering Algorithm for Categorical Attributes. Sudipto Guha, Rajeev Rastogi, Kyuseok Shim. ICDE 1999. (data clustering)
 * SPIRIT: Sequential Pattern Mining with Regular Expression Constraints. Minos N. Garofalakis, Rajeev Rastogi, Kyuseok Shim. VLDB 1999. (data mining &amp; pattern extraction)
 * STING+: An Approach to Active Spatial Data Mining. Wei Wang, Jiong Yang, Richard R. Muntz. ICDE 1999. (data mining)
 * Semantic Compression and Pattern Extraction with Fascicles. H. V. Jagadish, J. Madar, Raymond T. Ng. VLDB 1999. (data mining algorithms)
 * Snakes and Sandwiches: Optimal Clustering Strategies for a Data Warehouse. H. V. Jagadish, Laks V. S. Lakshmanan, Divesh Srivastava. ACM SIGMOD Conference 1999. (clustering)

1998

 * Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases. Yasuhiko Morimoto, Takeshi Fukuda, Hirofumi Matsuzawa, Takeshi Tokuyama, Kunikazu Yoda. VLDB 1998. (data mining)
 * Algorithms for Mining Distance-Based Outliers in Large Datasets. Edwin M. Knorr, Raymond T. Ng. VLDB 1998. (data mining)
 * Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications. Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopulos, Prabhakar Raghavan. ACM SIGMOD Conference 1998. (mining)
 * CURE: An Efficient Clustering Algorithm for Large Databases. Sudipto Guha, Rajeev Rastogi, Kyuseok Shim. ACM SIGMOD Conference 1998. (mining)
 * Cyclic Association Rules. Banu &Ouml;zden, Sridhar Ramaswamy, Abraham Silberschatz. ICDE 1998. (association rules and dependencies)
 * Efficient Discovery of Functional and Approximate Dependencies Using Partitions. Yk&auml; Huhtala, Juha K&auml;rkk&auml;inen, Pasi Porkka, Hannu Toivonen. ICDE 1998. (association rules and dependencies)
 * Efficiently Mining Long Patterns from Databases. Roberto J. Bayardo Jr.. ACM SIGMOD Conference 1998. (mining)
 * Employing Intelligent Agents for Knowledge Discovery (Abstract). Earl Stahl. ICDE 1998. (industry, data mining)
 * Exploratory Mining and Pruning Optimizations of Constrained Association Rules. Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Alex Pang. ACM SIGMOD Conference 1998. (association rules)
 * Industry Applications of Data Mining: Challenges &amp; Opportunities (Abstract). Evangelos Simoudis. ICDE 1998. (industry, data mining)
 * Mining Association Rules: Anti-Skew Algorithms. Jun-Lin Lin, Margaret H. Dunham. ICDE 1998. (mining of association rules)
 * Mining Optimized Association Rules with Categorical and Numeric Attributes. Rajeev Rastogi, Kyuseok Shim. ICDE 1998. (mining of association rules)
 * Mining Surprising Patterns Using Temporal Description Length. Soumen Chakrabarti, Sunita Sarawagi, Byron Dom. VLDB 1998. (data mining)
 * Mining for Strong Negative Associations in a Large Database of Customer Transactions. Ashok Savasere, Edward Omiecinski, Shamkant B. Navathe. ICDE 1998. (mining of association rules)
 * On the Discovery of Interesting Patterns in Association Rules. Sridhar Ramaswamy, Sameer Mahajan, Abraham Silberschatz. VLDB 1998. (data mining)
 * Online Generation of Association Rules. Charu C. Aggarwal, Philip S. Yu. ICDE 1998. (association rules and dependencies)
 * PUBLIC: A Decision Tree Classifier that Integrates Building and Pruning. Rajeev Rastogi, Kyuseok Shim. VLDB 1998. (data mining)
 * Parallel Mining Algorithms for Generalized Association Rules with Classification Hierarchy. Takahiko Shintani, Masaru Kitsuregawa. ACM SIGMOD Conference 1998. (association rules)
 * Query Flocks: A Generalization of Association-Rule Mining. Shalom Tsur, Jeffrey D. Ullman, Serge Abiteboul, Chris Clifton, Rajeev Motwani, Svetlozar Nestorov, Arnon Rosenthal. ACM SIGMOD Conference 1998. (association rules)
 * RainForest - A Framework for Fast Decision Tree Construction of Large Datasets. Johannes Gehrke, Raghu Ramakrishnan, Venkatesh Ganti. VLDB 1998. (data mining)
 * Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining. Flip Korn, Alexandros Labrinidis, Yannis Kotidis, Christos Faloutsos. VLDB 1998. (data mining)
 * Scalable Techniques for Mining Causal Structures. Craig Silverstein, Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman. VLDB 1998. (data mining)
 * WaveCluster: A Multi-Resolution Clustering Approach for Very Large Spatial Databases. Gholamhosein Sheikholeslami, Surojit Chatterjee, Aidong Zhang. VLDB 1998. (data mining)

1997

 * Beyond Market Baskets: Generalizing Association Rules to Correlations. Sergey Brin, Rajeev Motwani, Craig Silverstein. ACM SIGMOD Conference 1997. (data mining)
 * Dynamic Itemset Counting and Implication Rules for Market Basket Data. Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman, Shalom Tsur. ACM SIGMOD Conference 1997. (data mining)
 * Scalable Parallel Data Mining for Association Rules. Eui-Hong Han, George Karypis, Vipin Kumar. ACM SIGMOD Conference 1997. (data mining)

1996

 * BIRCH: An Efficient Data Clustering Method for Very Large Databases. Tian Zhang, Raghu Ramakrishnan, Miron Livny. ACM SIGMOD Conference 1996. (clustering and indexing)
 * Data Mining Using Two-Dimensional Optimized Accociation Rules: Scheme, Algorithms, and Visualization. Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama. ACM SIGMOD Conference 1996. (data mining)
 * IDEA: Interactive Data Exploration and Analysis. Peter G. Selfridge, Divesh Srivastava, Lynn O. Wilson. ACM SIGMOD Conference 1996. (data mining)
 * Mining Quantitative Association Rules in Large Relational Tables. Ramakrishnan Srikant, Rakesh Agrawal. ACM SIGMOD Conference 1996. (data mining)
 * On-line Reorganization of Sparsely-populated B+trees. Chendong Zou, Betty Salzberg. ACM SIGMOD Conference 1996. (clustering and indexing)
 * Two Techniques for On-Line Index Modification in Shared Nothing Parallel Databases. Kiran J. Achyutuni, Edward Omiecinski, Shamkant B. Navathe. ACM SIGMOD Conference 1996. (clustering and indexing)

1995

 * An Efficient Algorithm for Mining Association Rules in Large Databases. Ashok Savasere, Edward Omiecinski, Shamkant B. Navathe. VLDB 1995. (mining association rules)
 * Discovery of Multiple-Level Association Rules from Large Databases. Jiawei Han, Yongjian Fu. VLDB 1995. (mining association rules)
 * Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases. Rakesh Agrawal, King-Ip Lin, Harpreet S. Sawhney, Kyuseok Shim. VLDB 1995. (data mining)
 * Mining Generalized Association Rules. Ramakrishnan Srikant, Rakesh Agrawal. VLDB 1995. (mining association rules)
 * Mining Sequential Patterns. Rakesh Agrawal, Ramakrishnan Srikant. ICDE 1995. (data mining and information discovery)
 * NeuroRule: A Connectionist Approach to Data Mining. Hongjun Lu, Rudy Setiono, Huan Liu. VLDB 1995. (data mining)
 * Querying Shapes of Histories. Rakesh Agrawal, Giuseppe Psaila, Edward L. Wimmers, Mohamed Za&iuml;t. VLDB 1995. (data mining)
 * Set-Oriented Mining for Association Rules in Relational Databases. Maurice A. W. Houtsma, Arun N. Swami. ICDE 1995. (data mining and information discovery)
 * The Design and Experimental Evaluation of an Information Discovery Mechanism for Networks of Autonomous Database Systems. Dennis McLeod, Antonio Si. ICDE 1995. (data mining and information discovery)

1994

 * Combinatorial Pattern Discovery for Scientific Data: Some Preliminary Results. Jason Tsong-Li Wang, Gung-Wei Chirn, Thomas G. Marr, Bruce A. Shapiro, Dennis Shasha, Kaizhong Zhang. ACM SIGMOD Conference 1994. (discovery)
 * Incomplete Path Expressions and their Disambiguation. Yannis E. Ioannidis, Yezdi Lashkari. ACM SIGMOD Conference 1994. (discovery)
 * QBISM: Extending a DBMS to Support 3D Medical Images. Manish Arya, William F. Cody, Christos Faloutsos, Joel Richardson, Arthur Toya. ICDE 1994. (knowledge mining)
 * Supporting Data Mining of Large Databases by Visual Feedback Queries. Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl. ICDE 1994. (knowledge mining)
 * Supporting High-Bandwidth Navigation in Object-Bases. Venu Vasudevan. ICDE 1994. (knowledge mining)
 * The Effectiveness of GlOSS for the Text Database Discovery Problem. Luis Gravano, Hector Garcia-Molina, Anthony Tomasic. ACM SIGMOD Conference 1994. (discovery)
 * The Power of Sampling in Knowledge Discovery. Jyrki Kivinen, Heikki Mannila. PODS 1994. (data mining)
 * Tutorial Database Mining. Rakesh Agrawal. PODS 1994. (data mining)

1992

 * H-trees: A Dynamic Associative Search Index for OODB. Chee Chin Low, Beng Chin Ooi, Hongjun Lu. ACM SIGMOD Conference 1992. (indexing and clustering)
 * On the Performance of Object Clustering Techniques. Manolis M. Tsangaris, Jeffrey F. Naughton. ACM SIGMOD Conference 1992. (indexing and clustering)
 * The Term Retrieval Machine. Michael Ley. ACM SIGMOD Conference 1992. (indexing and clustering)

1988

 * A Functional Clustering Method for Optimal Access to Complex Domains in a Relational DBMS. Jean-Pierre Cheiney, Gerald Kiernan. ICDE 1988. (clustering and indexes)
 * Adaptive Algorithms for Balanced Multidimensional Clustering. Clement T. Yu, Tsang Ming Jiang. ICDE 1988. (clustering and indexes)
 * Efficient Algorithms for Maintenance of Large Database. Jaideep Srivastava, C. V. Ramamoorthy. ICDE 1988. (clustering and indexes)