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Poll: Which of the following would you recommend as the best introductory book on data mining?

	Data Mining: Concepts and Techniques - Han & Kamber
	Data Preparation for Data Mining - Pyle
	Introduction to Data Mining - Tan, Steinbach & Kumar
	Principles of Data Mining - Hand, Mannila & Smyth
	Machine Learning - Mitchell
	The Elements of Statistical Learning - Hastie, Tibshirani & Friedman
	Introduction to Business Data Mining - Olson & Shi
	Predictive Data Mining: a practical guide - Weiss & Indurkhya
	Other
	Books are way too structured and expensive for me!

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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:

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
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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