Data Mining People & Papers

DATA MINING PEOPLE & PAPERS

Still under construction...
(NOTE: The papers are sorted by the surname of the first author of the paper.)

Data Mining People

Charu C. Aggarwal (IBM)
Rakesh Agrawal (IBM Almaden Research Center)
Roberto Bayardo (IBM Almaden Research Center)
Claudio Bettini (University of Milano, Italy)
Sergey Brin (Stanford University)
Wray Buntine (Ultimode Systems)
Soumen Chakrabarti (University of California-Berkeley)
Surajit Chaudhuri (Microsoft Research Center)
David Wai-Lok Cheung (The Chinese University of Hong Kong)
Gautam Das (The University of Memphis)
Luc Dehaspe (Katholieke Universiteit Leuven, Belgium)
Andrew Fall (Simon Fraser University)
Christos Faloutsos (University of Maryland-College Park)
Usama M. Fayyad (Microsoft Research Center)
Tom Fawcett
Ada Waichee Fu (The Chinese University of Hong Kong)
Yongjian Fu (University of Missouri-Rolla)
Robert L. Grossman (University of Illinois at Chicago)
Jiawei Han (Simon Fraser University)
Tomasz Imielinski (Rutgers University)
Micheline Kamber (Simon Fraser University)
Benjamin Chi-Ming Kao (The University of Hong Kong)
Simon Kasif (University of Illinois at Chicago)
Martin L. Kersten (CWI, Netherlands)
Mika Klemettinen (University of Helsinki)
Willy Kloesgen (GMD German National Research Center)
Ronny Kohavi (Stanford University)
Krzysztof Koperski (Simon Fraser University)
Flip Korn (University of Maryland-College Park)
Alexandros Labrinidis (University of Maryland-College Park)
Sau Dan Lee (University of Maryland-College Park)
Bing Liu
Hongjun Lu
David Madigan (University of Washington)
Heikki Mannila (University of Helsinki)
Hector Garcia-Molina (Stanford University)
Rajeev Motwani (Stanford University)
Shamkant B. Navathe (Georgia Tech. University)
Raymond T. Ng (The University of British Columbia, Canada)
Mitsunori Ogihara (University of Rochester)
Edward R. Omiecinski (Georgia Tech. University)
Balaji Padmanabhan (New York University)
Jong Soo Park (Sungshin Women's University, South Korea)
Srinivasan Parthasarathy (University of Rochester)
Gregory Piatetsky-Shapiro (Knowledge Stream Partners)
Daryl Pregibon (AT&T Labaratories)
Andy Pryke (The University of Birmingham, UK)
Rajeev Rastogi (Bell Labaratories)
Pirjo Ronkainen (University of Helsinki)
Steven Salzberg (Johns Hopkins University)
Sunita Sarawagi (IBM Almaden Research Center)
Avi Silberschatz (Bell Labaratories)
Padhraic Smyth (University of California-Irvine)
Ramakrishnan Srikant (IBM Almaden Research Center)
Paul E. Stolorz (Jet Propulsion Laboratory, California Institute of Technology)
V. S. Subrahmanian (University of Maryland-College Park)
Shiby Thomas (University of Florida)
Hannu Toivonen (University of Helsinki)
Alexander Tuzhilin (New York University)
Jeffrey D. Ullman (Stanford University)
Inkeri Verkamo (University of Helsinki)
Duminda Wijesekara (University of Minnesota)
Stefan Wrobel (GMD German National Research Center)
Osmar R. Zaïane (Simon Fraser University)
Mohammed Javeed Zaki (University of Rochester)
Jan Zytkow (UNC-Charlotte)

Data Mining Papers

Charu C. Aggarwal, Philip S. Yu: Online Generation of Association Rules. ICDE 1998: 402-411
Charu C. Aggarwal, Philip S. Yu: Mining Large Itemsets for Association Rules. Data Engineering Bulletin 21(1): 23-31 (1998)
Rakesh Agrawal, S. Ghosh, T. Imielinski, B. Iyer, A. Swami: An Interval Classifier for Database Mining Applications. VLDB 1992: 560 -573, Vancouver.
Rakesh Agrawal, Christos Faloutsos, Arun Swami: Efficient Similarity Search in Sequence Databases. Proc. of the 4th Int'l Conference on Foundations of Data Organization and Algorithms, Chicago, Oct. 1993.
Rakesh Agrawal, Tomasz Imielinski, Arun Swami: Database Mining: A Performance Perspective. IEEE Transactions on Knowledge and Data Engineering, Special issue on Learning and Discovery in Knowledge-Based Databases, Vol. 5, No. 6, December 1993, 914-925.
Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami: Mining Association Rules between Sets of Items in Large Databases. SIGMOD Conference 1993: 207-216
Rakesh Agrawal, Ramakrishnan Srikant: Fast Algorithms for Mining Association Rules in Large Databases. VLDB 1994: 487-499
Rakesh Agrawal, Giuseppe Psaila: Active Data Mining. KDD 1995: 3-8
Rakesh Agrawal, Arun Swami: A One-Pass Space-Efficient Algorithm for Finding Quantiles. Proc. of the 7th Int'l Conferenceon Management of Data (COMAD-95), Pune, India, December 1995.
Rakesh Agrawal, G. Psaila, E. L. Wimmers, M. Zait: Querying Shapes of Histories. VLDB 1995, Zurich, Switzerland.
Rakesh Agrawal, K. Lin, H. S. Sawhney, K. Shim: Fast Similarity Search in the Presence of Noise, Scaling, and Translation in Time-Series Databases. VLDB 1995, Zurich, Switzerland.
Rakesh Agrawal, John C. Shafer: Parallel Mining of Association Rules. TKDE 8(6): 962-969 (1996)
Rakesh Agrawal, Heikki Mannila, Ramakrishnan Srikant, Hannu Toivonen, A. Inkeri Verkamo: Fast Discovery of Association Rules. Advances in Knowledge Discovery and Data Mining 1996: 307-328
Rakesh Agrawal, Kyuseok Shim: Developing Tightly-Coupled Data Mining Applications on a Relational Database System. KDD 1996: 287-290
Rakesh Agrawal, Manish Mehta, John C. Shafer, Ramakrishnan Srikant, Andreas Arning, Toni Bollinger: The Quest Data Mining System. KDD 1996: 244-249
Rakesh Agrawal, Johannes Gehrke, Dimitrios Gunopulos, Prabhakar Raghavan: Automatic Subspace Clustering of High Dimensional Data for Data Mining Applications. SIGMOD Conference 1998: 94-105
Rakesh Agrawal, Ramakrishnan. Srikant: Mining Sequential Patterns. ICDE 1995, Taipei, Taiwan.
Rakesh Agrawal, Dimitrios Gunopulos, Frank Leymann: Mining Process Models from Workflow Logs. Proc. of the 6th Int'l Conf. on Extending Database Technology (EDBT), Valencia, Spain, 1998.
K. Ali, S. Manganaris, R. Srikant: Partial Classification using Association Rules. KDD 1997, Newport Beach, California.
Sarabjot S. Anand, W. R. David Patterson, John G. Hughes, David A. Bell: Discovering Case Knowledge Using Data Mining. PAKDD 1998: 25-35
Sarabjot S. Anand, John G. Hughes: Hybrid Data Mining Systems: The Next Generation. PAKDD 1998: 13-24
Sarabjot S. Anand, David A. Bell, John G. Hughes: The Role of Domain Knowledge in Data Mining. CIKM 1995: 0-
Sarabjot S. Anand, David A. Bell, John G. Hughes: EDM: A General Framework for Data Mining Based on Evidence Theory. DKE 18(3): 189-223 (1996)
A. Arning, R. Agrawal, P. Raghavan: A Linear Method for Deviation Detection in Large Databases. KDD 1996, Portland, Oregon.

Inderpal S. Bhandari, Edward Colet, Jennifer Parker, Zachary Pines, Rajiv Pratap, Krishnakumar Ramanujam: Advanced Scout: Data Mining and Knowledge Discovery in NBA Data. Data Mining and Knowledge Discovery 1(1): 121-125 (1997)
Elena Baralis, Giuseppe Psaila: Designing Templates for Mining Association Rules. JIIS 9(1): 7-32 (1997)
R. Bayardo: Efficiently Mining Long Patterns from Databases. ACM SIGMOD Conference 1998, Seattle, Washington.
B. Becker, Ronny Kohavi, D. Sommerfield: Visualizing the Simple Bayesian Classifier. KDD 1997 Workshop on Issues on the Integration of Data Mining and Data Visualization.
Claudio Bettini, Xiaoyang Sean Wang, Sushil Jajodia: Testing Complex Temporal Relationships Involving Multiple Granularities and Its Application to Data Mining. PODS 1996: 68-78
Sergey Brin, Rajeev Motwani, Craig Silverstein: Beyond Market Baskets: Generalizing Association Rules to Correlations. SIGMOD Conference 1997: 265-276
Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman, Shalom Tsur: Dynamic Itemset Counting and Implication Rules for Market-Basket Data. SIGMOD 1997.
C. Brunk, J. Kelly, Ronny Kohavi: MineSet: An Integrated System for Data Mining. KDD 1997.
Christopher D. Bryant: Data Mining via ILP: The Application of Progol to a Database of Enantioseparations. ILP 1997: 85-92
Oliver Büchter, Rüdiger Wirth: Discovery of Association Rules over Ordinal Data: A New and Faster Algorithm and Its Application to Basket Analysis. PAKDD 1998: 36-47

C. H. Cai, Ada Wai-Chee Fu, C. H. Cheng, W. W. Kwong: Mining Association Rules with Weighted Items. IDEAS 1998: 68-77
Leo Carbonara, Huw Roberts, Blaise Egan: Data Mining in the Telecommunications Industry (Abstract). PKDD 1997: 396
Soumen Chakrabarti, Byron Dom, Rakesh Agrawal, P. Raghavan: Using Taxonomy, Discriminants, and Signatures for Navigating in Text Databases. VLDB 1997, Athens, Greece.
Soumen Chakrabarti, Sunita Sarawagi, Byron Dom: Mining Surprising Patterns Using Temporal Description Length. VLDB 1998.
Philip K. Chan, Salvatore J. Stolfo: On the Accuracy of Meta-Learning for Scalable Data Mining. JIIS 8(1): 5-28 (1997)
Surajit Chaudhuri: Data Mining and Database Systems: Where is the Intersection? Data Engineering Bulletin 21(1): 4-8 (1998)
Ming-Syan Chen, Jiawei Han, Philip S. Yu: Data Mining: An Overview from a Database Perspective. TKDE 8(6): 866-883 (1996)
Ming-Syan Chen, Jong Soo Park, Philip S. Yu: Efficient Data Mining for Path Traversal Patterns. TKDE 10(2): 209-221 (1998)
Ming-Syan Chen, Jong Soo Park, Philip S. Yu: Efficient Data Mining for Path Traversal Patterns in Distributed Systems. ICDCS 1996: 385-393
Xiaodong Chen, Ilias Petrounias, Heather Heathfield: Discovering Temporal Association Rules in Temporal Databases. IADT 1998: 312-319.
David Wai-Lok Cheung, A. W.-C. Fu, Jiawei Han: Knowledge Discovery in Databases: A Rule-Based Attribute-Oriented Approach. Proc. of 1994 Int'l Symp. on Methodologies for Intelligent Systems (ISMIS'94), Charlotte, North Carolina, October 1994, pp. 164-173.
David Wai-Lok Cheung, Jiawei Han, Vincent Ng, C. Y. Wong: Maintenance of Discovered Association Rules in Large Databases: An Incremental Updating Technique. ICDE 1996: 106-114
David Wai-Lok Cheung, Vincent Ng, Benjamin W. Tam: Maintenance of Discovered Knowledge: A Case in Multi-Level Association Rules. KDD 1996: 307-310
David Wai-Lok Cheung, Jiawei Han, Vincent Ng, Ada Wai-Chee Fu, Yongjian Fu: A Fast Distributed Algorithm for Mining Association Rules. PDIS 1996: 31-42
David Wai-Lok Cheung, Vincent Ng, Ada Wai-Chee Fu, Yongjian Fu: Efficient Mining of Association Rules in Distributed Databases. TKDE 8(6): 911-922 (1996)
David Wai-Lok Cheung, Benjamin Kao, J.W. Lee: Discovering User Access Patterns on the World-Wide-Web. PAKDD-97, Singapore, February, 1997.
David Wai-Lok Cheung, Sau Dan Lee, Benjamin Kao: A General Incremental Technique for Maintaining Discovered Association Rules. DASFAA 1997: 185-194
David Wai-Lok Cheung, Yongqiao Xiao: Effect of Data Skewness in Parallel Mining of Association Rules. PAKDD 1998: 48-60
David Wai-Lok Cheung, K. Hu, S. Xia: Asynchronous Parallel Algorithm for Mining Association Rules on a Shared-memory Multi-processors. Proc. of the Tenth Annual ACM Symposium on Parallel Algorithms And Architectures (SPAA-98), Puerto Vallarta, Mexico, June, 1998.
Parvathi Chundi, Umeshwar Dayal: An Application of Adaptive Data Mining: Facilitating Web Information Access. DMKD 1997: 0-
Kenneth C. Cox, Stephen G. Eick, Graham J. Wills, Ronald J. Brachman: Visual Data Mining: Recognizing Telephone Calling Fraud. Data Mining and Knowledge Discovery 1(2): 0- (1997)
Robert F. Cromp, William J. Campbell: Data Mining of Multi-dimensional Remotely Sensed Images. CIKM 1993: 471-480

M. M. Dalkilic, Dirk Van Gucht, E. L. Robertson: CE: the Classifier-Estimator Framework for Data Mining. DS-7 1997: 0-
Gautam Das, D. Gunopulous, Heikki Mannila: Finding Similar Time Series: PKDD 1997.
Gautam Das, Heikki Mannila, Pirjo Ronkainen. Similarity of Attributes by External Probes. KDD 1998, NewYork.
Gautam Das, King-Ip Lin, Heikki Mannila, Gopal Renganathan, Padhyraic Smyth: Rule Discovery from Time Series. KDD 1998.
Justin C. W. Debuse, Victor J. Rayward-Smith: Feature Subset Selection within a Simulated Annealing Data Mining Algorithm. JIIS 9(1): 57-81 (1997)
Luc Dehaspe, Luc De Raedt: Mining Association Rules in Multiple Relations. ILP 1997: 125-132
Luc Dehaspe, Hannu Toivonen, R. D. King. Finding frequent substructures in chemical compounds. KDD 1998, NewYork, USA.
Guozhu Dong, Jinyan Li: Interestingness of Discovered Association Rules in Terms of Neighborhood-Based Unexpectedness. PAKDD 1998: 72-86

Martin Ester, Hans-Peter Kriegel, Jörg Sander: Spatial Data Mining: A Database Approach. SSD 1997: 47-66
Frank Exner, Little Bear: Advances in Knowledge Discovery and Data Mining, edited by Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padraic Smyth, and Ramasamy Uthurusamy. JASIS 49(4): 386-387 (1998)

Gerald Fahner: Data Mining with Sparse and Simplified Interaction Selection. KDD 1996: 359-362
Christos Faloutsos, H. V. Jagadish, Nikolaos Sidiropoulos: Recovering Information from Summary Data. VLDB 1997.
Min Fang, Narayanan Shivakumar, Hector Garcia-Molina, Rajeev Motwani, Jeffrey D. Ullman: Computing Iceberg Queries Efficiently. VLDB 1998.
Tom Fawcett, Foster J. Provost: Combining Data Mining and Machine Learning for Effective User Profiling. KDD 1996: 8-13
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth: Knowledge Discovery and Data Mining: Towards a Unifying Framework. KDD 1996: 82-88
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth: From Data Mining to Knowledge Discovery: An Overview. Advances in Knowledge Discovery and Data Mining 1996: 1-34
Usama M. Fayyad: Data Mining and Knowledge Discovery in Databases: Applications in Astronomy and Planetary Science AAAI/IAAI, Vol. 2 1996: 1590-1592
Usama M. Fayyad, S. George Djorgovski, Nicholas Weir: From Digitized Images to Online Catalogs: Data Mining a Sky Survey. AI Magazine 17(2): 51-66 (1996)
Usama M. Fayyad, Gregory Piatetsky-Shapiro, Padhraic Smyth: From Data Mining to Knowledge Discovery in Databases. AI Magazine 17(3): 37-54 (1996)
Usama M. Fayyad, Ramasamy Uthurusamy: Data Mining and Knowledge Discovery in Databases (Introduction to the Special Section). CACM 39(11): 24-26 (1996)
A. J. Feelders, A. J. F. le Loux, J. W. van't Zand: Data Mining for Loan Evaluation at ABN AMRO: A Case Study. KDD 1995: 106-111
L. Feng, H. Lu, Y. C. Tay, K. H. Tung: Buffer Management in Distributed Database Systems: A Data Mining Based Approach. EDBT 1998: 246-260
Ian W. Flockhart, Nicholas J. Radcliffe: A Genetic Algorithm-Based Approach to Data Mining. KDD 1996: 299-302
Scott Fortin, Ling Liu: An Object-Oriented Approach to Multi-Level Association Rule Mining. CIKM 1996: 65-72
Yakov Frayman, Lipo Wang: Data Mining Using Dynamically Constructed Recurrent Fuzzy Neural Networks. PAKDD 1998: 122-131
Yongjian Fu, Jiawei Han: Meta-Rule-Guided Mining of Association Rules in Relational Databases. Proc. 1995 Int'l Workshop. on Knowledge Discovery and Deductive and Object-Oriented Databases (KDOOD'95), Singapore, December1995, pp. 39-46.
Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama: Mining Optimized Association Rules for Numeric Attributes. PODS 1996: 182-191
Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama: Constructing Efficient Decision Trees by Using Optimized Numeric Association Rules. VLDB 1996: 146-155
Takeshi Fukuda, Yasuhiko Morimoto, Shinichi Morishita, Takeshi Tokuyama: Data Mining Using Two-Dimensional Optimized Association Rules: Scheme, Algorithms, and Visualization. SIGMOD Conf. 1996: 13-23
Truxton Fulton, Simon Kasif, Steven Salzberg, David L. Waltz: Local Induction of Decision Trees: Towards Interactive Data Mining. KDD 1996: 14-19
Koichi Furukawa, Tomonobu Ozaki, Tomoku Murakami, Ken Ueno, Keiko Shimazu: Query Evaluation of Deductive Database by MGTP and its Application to Data Mining. DDLP 1997: 0-

Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth: Statistical Inference and Data Mining. CACM 39(11): 35-41 (1996)
Clark Glymour, David Madigan, Daryl Pregibon, Padhraic Smyth: Statistical Themes and Lessons for Data Mining. Data Mining and Knowledge Discovery 1(1): 11-28 (1997)
Georges G. Grinstein, Bhavani M. Thuraisingham: Data Mining and Data Visualization. Workshop on Database Issues for Data Visualization 1995: 54-56
Robert L. Grossman: A Tutorial Introduction to High Performance Data Mining (Abstract). PKDD 1997: 395
Robert L. Grossman, Haim Bodek, Dave Northcutt, Vince Poor: Data Mining and Tree-Based Optimization. KDD 1996: 323-326
Robert L. Grossman, Stuart Bailey, David Hanley: Data Mining Using Light Weight Object Management in Clustered Computing Environments. POS 1996: 237-249
Dimitrios Gunopulos, Roni Khardon, Heikki Mannila, Hannu Toivonen: Data mining, Hypergraph Transversals, and Machine Learning. PODS 1997: 209-216

Eui-Hong Han, George Karypis, Vipin Kumar: Scalable Parallel Data Mining for Association Rules. SIGMOD Conference 1997: 277-288
Eui-Hong Han, George Karypis, Vipin Kumar, Bamshad Mobasher: Clustering Based On Association Rule Hypergraphs. DMKD 1997: 0-
Jia Liang Han, Ashley W. Plank: Background for Association Rules and Cost Estimate of Selected Mining Algorithms. CIKM 1996: 73-80
Jiawei Han, Y. Cai and N. Cercone: Concept-Based Data Classification in Relational Databases. in Workshop Notes of 1991 AAAI Workshop on Knowledge Discovery in Databases (KDD'91), Anaheim, CA, July 1991, pp. 77-94.
Jiawei Han, Y. Cai and N. Cercone: Knowledge Discovery in Databases: An Attribute-Oriented Approach.VLDB 1992:547-559, Vancouver, Canada.
Jiawei Han, Yongjian Fu, Raymond T. Ng: Cooperative Query Answering Using Multiple Layered Databases. Proc. 2nd Int'l Conf. on Cooperative Information Systems (CoopIS'94), Toronto, Canada, May 1994, pp. 47-58.
Jiawei Han, Yongjian Fu, Y. Huang, Y. Cai, N. Cercone: DBLearn: A system prototype for knowledge discovery in relational databases. SIGMOD 1994, Minneapolis, MN.
Jiawei Han, Yongjian Fu: Dynamic Generation and Refinement of Concept Hierarchies for Knowledge Discovery in Databases. AAAI'94 Workshop on Knowledge Discovery in Databases (KDD'94), Seattle, WA, July 1994, pp. 157-168.
Jiawei Han, S. Nishio, H. Kawano: Knowledge Discovery in Object-Oriented and Active Databases. F. Fuchi and T. Yokoi (eds.), Knowledge Building and Knowledge Sharing, Ohmsha, Ltd. and IOS Press, 1994, pp. 221-230.
Jiawei Han, Y. Cai, N. Cercone, Y. Huang: Discovery of Data Evolution Regularities in Large Databases. Journal of Computer and Software Engineering, 3(1):41-69, 1995.
Jiawei Han: From Database Systems to Knowledge-Base Systems: An Evolutionary Approach.Tutorial Notes at ICDE'95, Taipei, Taiwan, 1-106.
Jiawei Han, Yongjian Fu: Discovery of Multiple-Level Association Rules from Large Databases. VLDB 1995: 420-431.
Jiawei Han: Mining Knowledge at Multiple Concept Levels. CIKM 1995:19-24, Baltimore, Maryland.
Jiawei Han, Yongjian Fu, W. Wang, J. Chiang, Osmar. R. Zaiane, Krzysztof. Koperski: DBMiner: Interactive Mining of Multiple-Level Knowledge in Relational Databases. SIGMOD 1996, Montreal, Canada.
Jiawei Han, Yongjian Fu, Krzysztof Koperski, W. Wang, and Osmar R. Zaiane: DMQL: A Data Mining Query Language for Relational Databases. DMKD 1996, Montreal, Canada.
Jiawei Han, Y. Huang, N. Cercone, Yongjian Fu: Intelligent Query Answering by Knowledge Discovery Techniques. IEEE Transactions on Knowledge and Data Engineering, 8(3): 373-390, 1996.
Jiawei Han, Yongjian Fu: Exploration of the Power of Attribute-Oriented Induction in Data Mining. U.M. Fayyad, G. Piatetsky-Shapiro, P. Smyth, and R. Uthurusamy (eds.), Advances in Knowledge Discovery and Data Mining, AAAI/MIT Press, 1996, pp. 399-421.
Jiawei Han, Yongjian Fu: Attribute-Oriented Induction in data Mining. Advances in Knowledge Discovery and Data Mining 1996: 399-421
Jiawei Han: Data Mining Techniques. SIGMOD Conf. 1996: 545
Jiawei Han: OLAP Mining: Integration of OLAP with Data Mining. DS-7 1997: 0-
Jiawei Han: Conference Tutorial Notes: Integration of Data Mining and Data Warehousing Technologies. ICDE 1997, Birmingham, England.
Jiawei Han: Data Mining: Where is it heaiing? (Panel). ICDE 1997: 508
Jiawei Han, Krzysztof Koperski, Nebojsa Stefanovic: GeoMiner: A System Prototype for Spatial Data Mining. SIGMOD Conference 1997: 553-556
Jiawei Han, Raymond T. Ng, Yongjian Fu, and S. Dao: Dealing with Semantic Heterogeneity by Generalization-Based Data Mining Techniques. M. P. Papazoglou and G. Schlageter (eds.), Cooperative Information Systems: Current Trends & Directions , Academic Press, 1998, pp. 207-231.
Jiawei Han, W. Gong, and Y. Yin: Mining Segment-Wise Periodic Patterns in Time-Related Databases. KDD 1998, New York City, NY.
Jiawei Han, S. Chee, and J. Y. Chiang: Issues for On-Line Analytical Mining of Data Warehouses. Proc. of SIGMOD'98 Workshop on Research Issues on Data Mining and Knowledge Discovery (DMKD'98) , Seattle, Washington, June 1998.
Jiawei Han: Towards On-Line Analytical Mining in Large Databases. SIGMOD Record, 27(1):97-107, 1998.
Jiawei Han, Shojiro Nishio, Hiroyuki Kawano, Wei Wang: Generalization-Based Data Mining in Object-Oriented Databases Using an Object Cube Model. DKE 25(1-2): 55-97 (1998).
David Heckerman: Bayesian Networks for Data Mining. Data Mining and Knowledge Discovery 1(1): 79-119 (1997)
Marcel Holsheimer, Martin L. Kersten: Architectural Support for Data Mining. Technical Report CS-R9429, CWI, Amsterdam, 1994. (Also published in KDD Workshop 1994: 217-228)
Marcel Holsheimer, Arno Siebes: Data Mining: The Search for Knowledge in Databases. Technical Report CS-R9406, CWI, Amsterdam, 1994.
Marcel Holsheimer, Martin L. Kersten, Heikki Mannila, Hannu Toivonen: A Perspective on Databases and Data Mining. Technical Report CS-R9531, CWI, Amsterdam, 1995.
Marcel Holsheimer, Martin L. Kersten, Heikki Mannila, Hannu Toivonen: A Perspective on Databases and Data Mining. KDD 1995: 150-155.
Maurice A. W. Houtsma, Arun N. Swami: Set-Oriented Mining for Association Rules in Relational Databases. ICDE 1995: 25-33
Zhexue Huang: A Fast Clustering Algorithm to Cluster Very Large Categorical Data Sets in Data Mining. DMKD 1997: 0-

Yuichi Iizuka, Hisako Shiohara, Tetsuya Iizuka, Seiji Isobe: Automatic Visualization Method for Visual Data Mining. PAKDD 1998: 173-185
W. H. Inmon: The Data Warehouse and Data Mining. CACM 39(11): 49-50 (1996)

K. Jim, Jeffrey Lai, Beat Wüthrich: A Data Mining Algorithm Optimal for Single Rules. DOOD 1997: 368-385
George H. John, Pat Langley: Static Versus Dynamic Sampling for Data Mining. KDD 1996: 367-370

Micheline Kamber, Lara Winstone, Wang Gon, Jiawei Han: Generalization and Decision Tree Induction: Efficient Classification in Data Mining. RIDE 1997: 0-
Micheline Kamber, Jiawei Han, Jenny Y. Chiang: Metarule-Guided Mining of Multi-Dimensional Association Rules Using Data Cubes. KDD 1997, Newport Beach, California.
H. Kawano, S. Nishio, Jiawei Han, T. Hasegawa: How Does Knowledge Discovery Cooperate with Active Database Techniques in Controlling Dynamic Environment?. DEXA 1994, Athens, Greece, September 1994, pp. 370-379.
Daniel A. Keim, Hans-Peter Kriegel, Thomas Seidl: Supporting Data Mining of Large Databases by Visual Feedback Queries. ICDE 1994: 302-313
Martin L. Kersten, Arno Siebes, Marcel Holsheimer, Fred Kwakkel: Research and Business Challenges in Data Mining Technology. BTW 1997: 1-16
Mika Klemettinen, Heikki Mannila, Pirjo Ronkainen, Hannu Toivonen, A. Inkeri Verkamo: Finding Interesting Rules from Large Sets of Discovered Association Rules. CIKM 1994: 401-407.
Mika Klemettinen, Heikki Mannila, and Hannu Toivonen: A data-mining methodology and its application to semi-automatic knowledge acquisition. DEXA 1997, 670 - 677, Toulouse, France.
Willi Klösgen: Knowledge Discovery in Databases and Data Mining. ISMIS 1996: 623-632
Edwin M. Knorr, Raymond T. Ng: Finding Aggregate Proximity Relationships and Commonalities in Spatial Data Mining. TKDE 8(6): 884-897 (1996)
Ronny Kohavi, D. Sommerfield, J. Dougherty: Data Mining using MLC++, a Machine Learning Library in C++. TAI 96.
Ronny Kohavi, D. Sommerfield, J. Dougherty: Data Mining using MLC++, a Machine Learning Library in C++. International Journal of Artificial Intelligence Tools, Vol. 6, No. 4, 1997, p. 537-566.
Ronny Kohavi: Data Mining with MineSet: What Worked, What Did Not, and What Might. KDD 1998 Workshop on the Commercial Success of Data Mining, NewYork, NY..
Henryk Jan Komorowski, Lech Polkowski, Andrzej Skowron: Rough Sets for Data Mining and Knowledge Discovery (Abstract). PKDD 1997: 393
Petri Kontkanen, Petri Myllymäki, Henry Tirri: Predictive Data Mining with Finite Mixtures. KDD 1996: 176-182
Krzysztof Koperski, Jiawei Han: Discovery of Spatial Association Rules in Geographic Information Databases. SSD 1995: 47-66
Krzysztof Koperski, Jiawei Han: Data Mining Methods for the Analysis of Large Geographic Databases. Proc. 10th Annual Conference on GIS, Vancouver, Canada, March 1996.
Krzysztof Koperski, Junas Adhikary, Jiawei Han: Spatial Data Mining: Progress and Challenges. DMKD 1996: 0-
Krzysztof.Koperski, Jiawei Han, and N. Stefanovic: An Efficient Two-Step Method for Classification of Spatial Data. Proc.of International Symposium on Spatial Data Handling SDH'98, , Vancouver, BC, Canada, July 1998.
Krzysztof Koperski, Jiawei Han, J. Adhikary: Mining Knowledge in Geographical Data. to appear in Communications of ACM, 1998.
Flip Korn, H. V. Jagadish, Christos Faloutsos: Efficiently Supporting Ad Hoc Queries in Large Datasets of Time Sequences. SIGMOD 1997.
Flip Korn, Alexandros Labrinidis, Yannis Kotidis, Christos Faloutsos: Ratio Rules: A New Paradigm for Fast, Quantifiable Data Mining. VLDB 1998: 0-
Evangelos Kranakis, Danny Krizanc, Andrzej Pelc, David Peleg: The Complexity of Data Mining on the Web (Abstract). PODC 1996: 153
Marzena Kryszkiewicz: Representative Association Rules. PAKDD 1998: 198-209
Chan Man Kuok, Ada Wai-Chee Fu, Man Hon Wong: Mining Fuzzy Association Rules in Databases. SIGMOD Record 27(1): 41-46 (1998)

Wai Lam, Alberto Maria Segre: Distributed Data Mining of Probabilistic Knowledge. ICDCS 1997: 0-
Sau Dan Lee, David Wai-Lok Cheung, Benjamin Kao: Is Sampling Useful in Data Mining ? A Case in the Maintenance of Discovered Association Rules. Data Mining and Knowledge Discovery, An International Journal, Kluwer Academic Publishers.
Sau Dan Lee, David Wai-Lok Cheung: Maintenance of Discovered Association Rules: When to update? DMKD 1997: 0-
Brian Lent, Rakesh Agrawal, Ramakrishnan. Srikant: Discovering Trends in Text Databases. KDD 1997, Newport Beach, California.
Brian Lent, Arun N. Swami, Jennifer Widom: Clustering Association Rules. ICDE 1997: 220-231
Bin Li, Dennis Shasha: Free Parallel Data Mining. SIGMOD Conference 1998: 541-543
Deyi Li, Kaichang Di, Deren Li, Xuemei Shi: Mining Association Rules with Linguistic Cloud Models. PAKDD 1998: 392-393
T. Y. Lin, Thomas H. Hinke, Donald G. Marks, Bhavani M. Thuraisingham: Security and Data Mining. DBSec 1995: 391-399
Jun-Lin Lin, Margaret H. Dunham: Mining Association Rules: Anti-Skew Algorithms. ICDE 1998: 486-493
Pawan Lingras, Y. Y. Yao: Data Mining Using Extensions of the Rough Set Model. JASIS 49(5): 415-422 (1998)
Bing Liu, Wynne Hsu, Yiming Ma: Integrating Classification and Association Rule Mining. KDD 1998, New York, USA.
Ye Liu, Hanxiong Chen, Jeffrey Xu Yu, Nobuo Ohbo: A Data Mining Approach for Query Refinement. PAKDD 1998: 394-396
Hongjun Lu, Weiguo Fan, Cheng Hian Goh, Stuart E. Madnick, David Wai-Lok Cheung: Discovering and Reconciling Semantic Conflicts: A Data Mining Perspective. DS-7 1997: 0-
Hongjun Lu, Rudy Setiono, Huan Liu: Effective Data Mining Using Neural Networks. TKDE 8(6): 957-961 (1996)
Hongjun Lu, Rudy Setiono, Huan Liu: NeuroRule: A Connectionist Approach to Data Mining. VLDB 1995: 478-489
Hongjun Lu, Jiawei Han,L. Feng: Stock Price Movement Prediction and N-Dimensional Inter-Transaction Association Rules, ACM SIGMOD Workshop on Research Issues in Data Mining and Knowledge Discovery, Seattle, Washington, 1998.

Akira Maeda, Hideyuki Maki, Hiroyuji Akimori: Characteristic Rule Induction Algorithm for Data Mining. PAKDD 1998: 399-400
O. L. Mangasarian: Mathematical Programming in Data Mining. Data Mining and Knowledge Discovery 1(2): 0- (1997)
Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo: Efficient Algorithms for Discovering Association Rules. KDD Workshop 1994: 181-192
Heikki Mannila, Hannu Toivonen, A. Inkeri Verkamo: Discovering frequent episodes in sequences. KDD 1995: 210 - 215, Montreal, Canada
Heikki Mannila, Hanu Toivonen: Discovering generalized episodes using minimal occurrences.KDD 1996: 146 - 151, Portland, Oregon.
Heikki Mannila, Hannu Toivonen: Multiple uses of frequent sets and condensed representations.KDD 1996: 189-194, Portland, Oregon.
Heikki Mannila: Methods and Problems in Data Mining. ICDT 1997: 41-55
Heikki Mannila: Data Mining: Machine Learning, Statistics, and Databases. SSDBM 1996: 2-9
Heikki Mannila: Inductive Databases and Condensed Representations for Data Mining. ILPS 1997: 21-30
Iain McLaren, Edward Babb, Jorge B. Bocca: DAFS: Data Mining File Server. RIDE 1997: 0-
Manish Mehta, J. Rissanen, and R. Agrawal: MDL-based Decision Tree Pruning. KDD 1995, Montreal, Canada.
Manish Mehta, Rakesh Agrawal, Jorma Rissanen: SLIQ: A Fast Scalable Classifier for Data Mining. EDBT 1996: 18-32
Rosa Meo, Giuseppe Psaila, Stefano Ceri: A New SQL-like Operator for Mining Association Rules. VLDB 1996: 122-133
Rosa Meo, Giuseppe Psaila, Stefano Ceri: A Tightly-Coupled Architecture for Data Mining. ICDE 1998: 316-323
R. J. Miller, Yuping Yang: Association Rules over Interval Data. SIGMOD Conference 1997: 452-461
Hector Garcia-Molina, Wilburt Labio, Jun Yang: Expiring Data in a Warehouse. VLDB 1998.
Torulf Mollestad, Andrzej Skowron: A Rough Set Framework for Data Mining of Propositional Default Rules. ISMIS 1996: 448-457
Yasuhiko Morimoto, Takeshi Fukuda, Hirofumi Matsuzawa, Takeshi Tokuyama, Kunikazu Yoda: Algorithms for Mining Association Rules for Binary Segmentations of Huge Categorical Databases. VLDB 1998: 0-
Joe Mullich: Data Mining: Making Data Meaningful. IEEE Computer 30(9): 18 (1997)

Amedeo Napoli, Arnaud Simon: KR Meets DB for Data Mining. KRDB 1996
Raymond T. Ng, Jiawei Han: Efficient and Effective Clustering Methods for Spatial Data Mining. VLDB 1994: 144-155
Raymond T. Ng, Laks V. S. Lakshmanan, Jiawei Han, Alex Pang: Exploratory Mining and Pruning Optimizations of Constrained Association Rules. SIGMOD Conference 1998: 13-24
KianSing Ng, Huan Liu, HweeBong Kwah: A Data Mining Application: Customes Retention at the Port of Singapore Authority (PSA). SIGMOD Conference 1998: 522-525

Carlos Montes de Oca, Doris L. Carver: Design Recovery with Data Mining Techniques. PAKDD 1998: 405-406
Edward Omiecinski, Ashok Savasere: Efficient Mining of Association Rules in Large Dynamic Databases. BNCOD 1998: 49-63
Banu Özden, Sridhar Ramaswamy, Abraham Silberschatz: Cyclic Association Rules. ICDE 1998: 412-421

Jong Soo Park, Ming-Syan Chen, Philip S. Yu: Efficient Parallel and Data Mining for Association Rules. CIKM 1995: 31-36
Jong Soo Park, Ming-Syan Chen, Philip S. Yu: An Effective Hash Based Algorithm for Mining Association Rules. SIGMOD Conference 1995: 175-186
Jong Soo Park, Ming-Syan Chen, Philip S. Yu: Using a Hash-Based Method with Transaction Trimming for Mining Association Rules. TKDE 9(5): 813-825 (1997)
Gregory Piatetsky-Shapiro: Data Mining and Knowledge Discovery in Business Databases. ISMIS 1996: 56-67
Gregory Piatetsky-Shapiro: Data Mining and Knowledge Discovery: The Third Generation (Extended Abstract). ISMIS 1997: 48-49
Gregory Piatetsky-Shapiro, Ronald J. Brachman, Tom Khabaza, Willi Klösgen, Evangelos Simoudis: An Overview of Issues in Developing Industrial Data Mining and Knowledge Discovery Applications. KDD 1996: 89-95
Gregory Piatetsky-Shapiro: Data Mining and Knowledge Discovery Internet Resources. Advances in Knowledge Discovery and Data Mining 1996: 593-595
Gregory M. Provan, Moninder Singh: Data Mining and Model Simplicity: A Case Study in Diagnosis. KDD 1996: 57-62

Arnaud Ragel, Bruno Crémilleux: Treatment of Missing Values for Association Rules. PAKDD 1998: 258-270
Vijay V. Raghavan, Jitender S. Deogun, Hayri Sever: Introduction (Special Topic Issue: Knowledge Discovery and Data Mining). JASIS 49(5): 397-402 (1998)
Sridhar Ramaswamy, Sameer Mahajan, Avi Silberschatz: On the Discovery of Interesting Patterns in Association Rules. VLDB 1998: 0-
Rajeev Rastogi, Kyuseok Shim: Mining Optimized Association Rules with Categorical and Numeric Attributes. ICDE 1998: 503-512
Erik Riedel, Garth A. Gibson, Christos Faloutsos: Active Storage for Large-Scale Data Mining and Multimedia. VLDB 1998: 0-
Lucian Russell: Deductive Data Mining: Uncertainty Measures for Banding the Search Space. KRDB 1998: 15.1-15.5

S. Sarawagi, R. Agrawal, N. Megiddo: Discovery-driven exploration of OLAP data cubes. The Sixth Int'l Conference on Extending Database Technology (EDBT), Valencia, Spain, March 1998.
S. Sarawagi, S. Thomas, R. Agrawal: Integrating association rule mining with databases: alternatives and implications. ACM SIGMOD 1998, Seattle, Washington.
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Alan T. Schroeder Jr.: Data Mining with Neural Networks: Solving Business Problems from Application Development to Decision Support, by Joseph P. Bigus. JASIS 48(9): 862-863 (1997)
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John C. Shafer, Rakesh Agrawal, Manish Mehta: SPRINT: A Scalable Parallel Classifier for Data Mining. VLDB 1996: 544-555
John C. Shafer, Rakesh Agrawal: Parallel Algorithms for High-dimensional Similarity Joins for Data Mining Applications. VLDB 1997: 176-185
Eddie C. Shek, Richard R. Muntz, Edmond Mesrobian, Kenneth Ng: Scalable Exploratory Data Mining of Distributed Geoscientific Data. KDD 1996: 32-37
Wei-Min Shen, Bing Leng: A Metapattern-Based Automated Discovery Loop for Integrated Data Mining - Unsupervised Learning of Relational Patterns. TKDE 8(6): 898-910 (1996)
Wei-Min Shen, Bing Leng: Metapattern Generation for Integrated Data Mining. KDD 1996: 152-157
Wei-Min Shen, KayLiang Ong, Bharat G. Mitbander, Carlo Zaniolo: Metaqueries for Data Mining. Advances in Knowledge Discovery and Data Mining 1996: 375-398
K. Shim, R. Srikant, Rakesh Agrawal: High-dimensional Similarity Joins. ICDE 1997, Birmingham, England.
Takahiko Shintani, Masaru Kitsuregawa: Hash Based Parallel Algorithms for Mining Association Rules. PDIS 1996: 19-30
Takahiko Shintani, Masaru Kitsuregawa: Parallel Mining Algorithms for Generalized Association Rules with Classification Hierarchy. SIGMOD Conference 1998: 25-36
Avi Silberschatz, Alex Tuzhilin: On Subjective Measures of Interestingness in Knowledge Discovery. KDD 1995.
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Craig Silverstein, Sergey Brin, Rajeev Motwani, Jeffrey D. Ullman: Scalable Techniques for Mining Causal Structures. VLDB 1998.
Evangelos Simoudis, Brian Livezey, Randy Kerber: Integrating Inductive and Deductive Reasoning for Data Mining. Advances in Knowledge Discovery and Data Mining 1996: 353-373
Evangelos Simoudis: Industry Applications of Data Mining: Challenges & Opportunities (Abstract). ICDE 1998: 105
Ramakrishnan Srikant, Rakesh Agrawal: Mining Generalized Association Rules. VLDB 1995: 407-419
Ramakrishnan Srikant, Rakesh Agrawal: Mining Quantitative Association Rules in Large Relational Tables. SIGMOD Conf. 1996: 1-12
Ramakrishnan. Srikant, Q. Vu, R. Agrawal: Mining Association Rules with Item Constraints. Proc. of the 3rd Int'l Conference on Knowledge Discovery in Databases and Data Mining, Newport Beach, California, August 1997.
Paul E. Stolorz, Christopher Dean: Quakefinder: A Scalable Data Mining System for Detecting Earthquakes from Space. KDD 1996: 208-213
Paul E. Stolorz, H. Nakamura, Edmond Mesrobian, Richard R. Muntz, Eddie C. Shek, J. R. Santos, J. Yi, K. Ng, S.-Y. Chien, C. R. Mechoso, J. D. Farrara: Fast Spatio-Temporal Data Mining of Large Geophysical Datasets. KDD 1995: 300-305
Arun N. Swami, Brian Lent: Sharing Processing in Data Mining System. DMKD 1997: 0-

Hannu Toivonen, Mika Klemettinen, P. Ronkainen, K. Hätönen, Heikki Mannila. Pruning and grouping discovered association rules. In MLnet Workshop on Statistics, Machine Learning, and Discovery in Databases, 47-52, Heraklion, Crete, Greece, April 1995.
Hannu Toivonen: Sampling Large Databases for Association Rules. VLDB 1996: 134-145
Shusaku Tsumoto, Wojciech Ziarko: The Application of Rough Sets-Based Data Mining Technique to Differential Diagnosis of Meningoenchepahlitis. ISMIS 1996: 438-447

Ramasamy Uthurusamy: From Data Mining to Knowledge Discovery: Current Challenges and Future Directions. Advances in Knowledge Discovery and Data Mining 1996: 561-569

Marisa S. Viveros, John P. Nearhos, Michael J. Rothman: Applying Data Mining Techniques to a Health Insurance Information System. VLDB 1996: 286-294

Wei Wang, Jiong Yang, Richard R. Muntz: STING: A Statistical Information Grid Approach to Spatial Data Mining. VLDB 1997: 186-195
Yunming Wang, Chun Tao, Yonggang Zhao, Yang Yang: CRD: A New Data Mining Method in Deductive Databases. DDLP 1997: 0-
Ke Wang, W. Tay, Bing Liu: An Interestingness-Based Interval Merger for Numeric Association Rules. KDD 1998, NewYork, USA.
Takashi Washio, Hiroshi Motoda: Mining Association Rules for Estimation and Prediction. PAKDD 1998: 417-419
Stefan Wrobel, Dietrich Wettschereck, Edgar Sommer, Werner Emde: Extensibility in Data Mining Systems. KDD 1996: 214-219

Osmar R. Zaïane, Jiawei Han: Resource and Knowledge Discovery in Global Information Systems: A Preliminary Design and Experiment. KDD 1995, Montreal, Canada, pp. 331-336.
Osmar R. Zaïane, Jiawei Han, Ze-Nian Li, Sonny H. Chee, Jenny Chiang: MultiMediaMiner: A System Prototype for Multimedia Data Mining. SIGMOD Conference 1998: 581-583
Osmar R. Zaiane, M. Xin, Jiawei Han: Discovering Web Access Patterns and Trends by Applying OLAP and Data Mining Technology on Web Logs. Proc. Advances in Digital Libraries Conf. (ADL'98), Santa Barbara, CA, April 1998, pp. 19-29.
Mohammed Javeed Zaki, Srinivasan Parthasarathy, Wei Li, Mitsunori Ogihara: Evaluation of Sampling for Data Mining of Association Rules. RIDE 1997: 0-
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Ning Zhong, Juzhen Dong, Setsuo Ohsuga: Data Mining Based on the Generalization Distribution Table and Rough Sets. PAKDD 1998: 360-373

Last Updated: September 17, 1998. (by Necip Fazil Ayan)