KDD - Proceedings Hancock: a language for extracting signatures from data streams Corinna Cortes Kathleen Fisher Daryl Pregibon Anne Rogers Mining IC test data to optimize VLSI testing Tony Fountain Thomas Dietterich Bill Sudyka An empirical analysis of techniques for constructing and searching k-dimensional trees Douglas A. Talbert Doug Fisher Generating non-redundant association rules Mohammed J. Zaki Ongoing management and application of discovered knowledge in a large regulatory organization: a case study of the use and impact of NASD Regulation's Advanced Detection System (RADS) Ted E. Senator Small is beautiful: discovering the minimal set of unexpected patterns Balaji Padmanabhan Alexander Tuzhilin Data selection for support vector machine classifiers Glenn Fung Olvi L. Mangasarian Mining high-speed data streams Pedro Domingos Geoff Hulten Deformable Markov model templates for time-series pattern matching Xianping Ge Padhraic Smyth Active learning using adaptive resampling Vijay S. Iyengar Chidanand Apte Tong Zhang Efficient search for association rules Geoffrey I. Webb Depth first generation of long patterns Ramesh C. Agarwal Charu C. Aggarwal V. V. V. Prasad The IGrid index: reversing the dimensionality curse for similarity indexing in high dimensional space Charu C. Aggarwal Philip S. Yu The generalized Bayesian committee machine Volker Tresp A general probabilistic framework for clustering individuals and objects Igor V. Cadez Scott Gaffney Padhraic Smyth Efficient identification of Web communities Gary William Flake Steve Lawrence C. Lee Giles Global partial orders from sequential data Heikki Mannila Christopher Meek Efficient clustering of high-dimensional data sets with application to reference matching Andrew McCallum Kamal Nigam Lyle H. Ungar Towards an effective cooperation of the user and the computer for classification Mihael Ankerst Martin Ester Hans-Peter Kriegel A framework for specifying explicit bias for revision of approximate information extraction rules Ronen Feldman Yair Liberzon Binyamin Rosenfeld Jonathan Schler Jonathan Stoppi Explicitly representing expected cost: an alternative to ROC representation Chris Drummond Robert C. Holte Multi-level organization and summarization of the discovered rules Bing Liu Minqing Hu Wynne Hsu Visualization and the process of modeling: a cognitive-theoretic view Andrew W. Crapo Laurie B. Waisel William A. Wallace Thomas R. Willemain Visualizing association rules with interactive mosaic plots Heike Hofmann Arno P. J. M. Siebes Adalbert F. X. Wilhelm Interactive exploration of very large relational datasets through 3D dynamic projections Li Yang RuleViz: a model for visualizing knowledge discovery process Jianchao Han Nick Cercone Hardening soft information sources William W. Cohen Henry Kautz David McAllester Using the fractal dimension to cluster datasets Daniel Barbará Ping Chen Growing decision trees on support-less association rules Ke Wang Senqiang Zhou Yu He Efficient mining of weighted association rules (WAR) Wei Wang Jiong Yang Philip S. Yu Mining asynchronous periodic patterns in time series data Jiong Yang Wei Wang Philip S. Yu Visualization of navigation patterns on a Web site using model-based clustering Igor Cadez David Heckerman Christopher Meek Padhraic Smyth Steven White Scaling up dynamic time warping for datamining applications Eamonn J. Keogh Michael J. Pazzani IntelliClean: a knowledge-based intelligent data cleaner Mong Li Lee Tok Wang Ling Wai Lup Low Towards scalable support vector machines using squashing Dmitry Pavlov Darya Chudova Padhraic Smyth A data mining framework for optimal product selection in retail supermarket data: the generalized PROFSET model Tom Brijs Bart Goethals Gilbert Swinnen Koen Vanhoof Geert Wets Application of neural networks to biological data mining: a case study in protein sequence classification Jason T. L. Wang Qicheng Ma Dennis Shasha Cathy H. Wu Exploring constraints to efficiently mine emerging patterns from large high-dimensional datasets Xiuzhen Zhang Guozhu Dong Ramamohanarao Kotagiri Multivariate discretization of continuous variables for set mining Stephen D. Bay On-line unsupervised outlier detection using finite mixtures with discounting learning algorithms Kenji Yamanishi Jun-Ichi Takeuchi Graham Williams Unsupervised Bayesian visualization of high-dimensional data Petri Kontkanen Jussi Lahtinen Petri Myllymäki Henry Tirri A sequential sampling algorithm for a general class of utility criteria Tobias Scheffer Stefan Wrobel Efficient algorithms for constructing decision trees with constraints Minos Garofalakis Dongjoon Hyun Rajeev Rastogi Kyuseok Shim A classifier for semi-structured documents Jeonghee Yi Neel Sundaresan Alpha seeding for support vector machines Dennis DeCoste Kiri Wagstaff Can we push more constraints into frequent pattern mining? Jian Pei Jiawei Han FreeSpan: frequent pattern-projected sequential pattern mining Jiawei Han Jian Pei Behzad Mortazavi-Asl Qiming Chen Umeshwar Dayal Mei-Chun Hsu Visualization and interactive feature selection for unsupervised data Jennifer G. Dy Carla E. Brodley Feature selection in unsupervised learning via evolutionary search YeongSeog Kim W. Nick Street Filippo Menczer Classification and visualization for high-dimensional data Alfred Inselberg Tova Avidan Data mining solves tough semiconductor manufacturing problems Mike Gardner Jack Bieker Genome scale prediction of protein functional class from sequence using data mining Ross D. King Andreas Karwath Amanda Clare Luc Dephaspe Data mining to detect abnormal behavior in aerospace data José M. Peña Fazel Famili Sylvain Létourneau Predictive modeling in automotive direct marketing: tools, experiences and open issues Wendy Gersten Rüdiger Wirth Dirk Arndt Agglomerative clustering of a search engine query log Doug Beeferman Adam Berger Textual data mining of service center call records Pang-Ning Tan Hannah Blau Steve Harp Robert Goldman Automating exploratory data analysis for efficient data mining Jonathan D. Becher Pavel Berkhin Edmund Freeman Exploration mining in diabetic patients databases: findings and conclusions Wynne Hsu Mong Li Lee Bing Liu Tok Wang Ling Cross-sell: a fast promotion-tunable customer-item recommendation method based on conditionally independent probabilities Brendan Kitts David Freed Martin Vrieze Identifying prospective customers Paul B. Chou Edna Grossman Dimitrios Gunopulos Pasumarti Kamesam Targeting the right students using data mining Yiming Ma Bing Liu Ching Kian Wong Philip S. Yu Shuik Ming Lee Evolutionary algorithms in data mining: multi-objective performance modeling for direct marketing Siddhartha Bhattacharyya Hybrid Poisson process Ayman Farahat Data mining techniques for optimizing inventories for electronic commerce Anjali Dhond Amar Gupta Sanjeev Vadhavkar Mining the stock market (extended abstract): which measure is best? Martin Gavrilov Dragomir Anguelov Piotr Indyk Rajeev Motwani Discovering similar patterns in time series Juan P. Caraça-Valente Ignacio López-Chavarrías Defection detection: using activity profiles to predict ISP customer vulnerability Nandini Raghavan Robert M. Bell Matthias Schonlau Incremental quantile estimation for massive tracking Fei Chen Diane Lambert José C. Pinheiro Discovery of multi-level rules and exceptions from a distributed database Rónán Páircéir Sally McClean Bryan Scotney Return to KDD session listing DiSC'01 Copyright ©2002 ACM Inc.