KDD - Proceeding Challenges for knowledge discovery in biology Russ B. Altman Extracting targeted data from the web Tom M. Mitchell Mass collaboration and data mining Raghu Ramakrishnan Applications of generalized support vector machines to predictive modeling Nitin Agrarwal Data mining: are we there yet? Herb Edelstein Mining e-commerce data: the good, the bad, and the ugly Ron Kohavi Data mining platform for database developers Amir Netz Recommender systems in commerce and community John Riedl The "DGX" distribution for mining massive, skewed data Zhiqiang Bi Christos Faloutsos Flip Korn Data mining criteria for tree-based regression and classification Andreas Buja Yung-Seop Lee Probabilistic modeling of transaction data with applications to profiling, visualization, and prediction Igor V. Cadez Padhraic Smyth Heikki Mannila GESS: a scalable similarity-join algorithm for mining large data sets in high dimensional spaces Jens-Peter Dittrich Bernhard Seeger Mining the network value of customers Pedro Domingos Matt Richardson Empirical bayes screening for multi-item associations William DuMouchel Daryl Pregibon Proximal support vector machine classifier Glenn Fung O. L. Mangasarian Data mining with sparse grids using simplicial basis functions Jochen Garcke Michael Griebel Mining time-changing data streams Geoff Hulten Laurie Spencer Pedro Domingos Visualizing multi-dimensional clusters, trends, and outliers using star coordinates Eser Kandogan Ensemble-index: a new approach to indexing large databases Eamonn J. Keogh Selina Chu Michael J. Pazzani Robust space transformations for distance-based operations Edwin M. Knorr Raymond T. Ng Ruben H. Zamar Molecular feature mining in HIV data Stefan Kramer Luc De Raedt Christoph Helma Discovering unexpected information from your competitors' web sites Bing Liu Yiming Ma Philip S. Yu Personalization from incomplete data: what you don't know can hurt Balaji Padmanabhan Zhiqiang Zheng Steven O. Kimbrough Probabilistic query models for transaction data Dmitry Pavlov Padhraic Smyth Extracting collective probabilistic forecasts from web games David M. Pennock Steve Lawrence Finn Årup Nielsen C. Lee Giles Tri-plots: scalable tools for multidimensional data mining Agma J. M. Traina Caetano Traina Jr. Spiros Papadimitriou Christos Faloutsos Efficient discovery of error-tolerant frequent itemsets in high dimensions Cheng Yang Usama M. Fayyad Paul S. Bradley Learning and making decisions when costs and probabilities are both unknown Bianca Zadrozny Charles Elkan Data mining case study: modeling the behavior of offenders who commit serious sexual assaults Richard Adderley Peter B. Musgrove A human-computer cooperative system for effective high dimensional clustering Charu C. Aggarwal Mining massively incomplete data sets by conceptual reconstruction Charu C. Aggarwal Srinivasan Parthasarathy Evaluating the novelty of text-mined rules using lexical knowledge Sugato Basu Raymond J. Mooney Krupakar V. Pasupuleti Joydeep Ghosh Fast ordering of large categorical datasets for better visualization Alina Beygelzimer Chang-Shing Perng Sheng Ma Random projection in dimensionality reduction: applications to image and text data Ella Bingham Heikki Mannila Gaining insights into support vector machine pattern classifiers using projection-based tour methods Doina Caragea Dianne Cook Vasant Honavar PVA: a self-adaptive personal view agent system Chien Chin Chen Meng Chang Chen Yeali S. Sun A robust and scalable clustering algorithm for mixed type attributes in large database environment Tom Chiu DongPing Fang John Chen Yao Wang Christopher Jeris Co-clustering documents and words using bipartite spectral graph partitioning Inderjit S. Dhillon A spectral method to separate disconnected and nearly-disconnected web graph components Chris H. Q. Ding Xiaofeng He Hongyuan Zha Clustering spatial data using random walks David Harel Yehuda Koren Solving regression problems with rule-based ensemble classifiers Nitin Indurkhya Sholom M. Weiss Mining top-n local outliers in large databases Wen Jin Anthony K. H. Tung Jiawei Han Generalized clustering, supervised learning, and data assignment Annaka Kalton Pat Langley Kiri Wagstaff Jungsoon Yoo Mining a stream of transactions for customer patterns Diane Lambert José C. Pinheiro The distributed boosting algorithm Aleksandar Lazarevic Zoran Obradovic Induction of semantic classes from natural language text Dekang Lin Patrick Pantel DIRT - Discovery of inference rules from text Dekang Lin Patrick Pantel Identifying non-actionable association rules Bing Liu Wynne Hsu Yiming Ma Discovering the set of fundamental rule changes Bing Liu Wynne Hsu Yiming Ma Finding simple intensity descriptions from event sequence data Heikki Mannila Marko Salmenkivi Data filtering for automatic classification of rocks from reflectance spectra Jonathan Moody Ricardo Silva Joseph Vanderwaart Mining frequent neighboring class sets in spatial databases Yasuhiko Morimoto Experimental comparisons of online and batch versions of bagging and boosting Nikunj C. Oza Stuart J. Russell TreeDT: gene mapping by tree disequilibrium test Petteri Sevon Hannu Toivonen Vesa Ollikainen Detecting graph-based spatial outliers: algorithms and applications (a summary of results) Shashi Shekhar Chang-Tien Lu Pusheng Zhang A streaming ensemble algorithm (SEA) for large-scale classification W. Nick Street YongSeog Kim Discovering associations with numeric variables Geoffrey I. Webb Discovering outlier filtering rules from unlabeled data: combining a supervised learner with an unsupervised learner Kenji Yamanishi Jun-ichi Takeuchi Infominer: mining surprising periodic patterns Jiong Yang Wei Wang Philip S. Yu Real world performance of association rule algorithms Zijian Zheng Ron Kohavi Llew Mason Segmentation-based modeling for advanced targeted marketing Chidanand Apté E. Bibelnieks Ramesh Natarajan Edwin P. D. Pednault F. Tipu Deb Campbell Bryan Nelson Interactive path analysis of web site traffic Pavel Berkhin Jonathan D. Becher Dee Jay Randall Estimating business targets Piew Datta James Drew Andrew Betz D. R. Mani Jeffery Howard Magical thinking in data mining: lessons from CoIL challenge 2000 Charles Elkan REVI-MINER, a KDD-environment for deviation detection and analysis of warranty and goodwill cost statements in automotive industry E. Hotz Udo Grimmer W. Heuser Gholamreza Nakhaeizadeh M. Wieczorek Data mining techniques to improve forecast accuracy in airline business Christoph Hueglin Francesco Vannotti Mining from open answers in questionnaire data Hang Li Kenji Yamanishi Funnel report mining for the MSN network Teresa Mah Hank Hoek Ying Li Evaluation of prediction models for marketing campaigns Saharon Rosset Einat Neumann Uri Eick Nurit Vatnik Izhak Idan Knowledge base maintenance using knowledge gap analysis Scott Spangler Jeffrey T. Kreulen Mining user session data to facilitate user interaction with a customer service knowledge base in RightNow Web Doug Warner J. Neal Richter Stephen D. Durbin Bikramjit Banerjee Mining web logs for prediction models in WWW caching and prefetching Qiang Yang Henry Haining Zhang Ian Tian Yi Li Return to KDD session listing DiSC'02 © 2003 Association for Computing Machinery