Digital Symposium Collection 2000

KDD - Papers Data mining (Invited talk. Abstract only): crossing the Chasm Rakesh Agrawal Farming the Web for systematic business intelligence (Invited talk. Abstract only) Richard Hackathorn 2001 (Invited talk. Abstract only): a statistical odyssey Daryl Pregibon Squashing flat files flatter William DuMouchel Chris Volinsky Theodore Johnson Corinna Cortes Daryl Pregibon Fast and effective text mining using linear-time document clustering Bjornar Larsen Chinatsu Aone Efficient progressive sampling Foster Provost David Jensen Tim Oates Event detection from time series data Valery Guralnik Jaideep Srivastava Efficient mining of emerging patterns: discovering trends and differences Guozhu Dong Jinyan Li Activity monitoring: noticing interesting changes in behavior Tom Fawcett Foster Provost Trajectory clustering with mixtures of regression models Scott Gaffney Padhraic Smyth CACTUS—clustering categorical data using summaries Venkatesh Ganti Johannes Gehrke Raghu Ramakrishnan Entropy-based subspace clustering for mining numerical data Chun-hung Cheng Ada Wai-chee Fu Yi Zhang Statistics and data mining techniques for lifetime value modeling D. R. Mani James Drew Andrew Betz Piew Datta Mining GPS data to augment road models Seth Rogers Pat Langley Christopher Wilson Mining in a data-flow environment: experience in network intrusion detection Wenke Lee Salvatore J. Stolfo Kui W. Mok Pruning and summarizing the discovered associations Bing Liu Wynne Hsu Yiming Ma Mining optimized gain rules for numeric attributes Sergey Brin Rajeev Rastogi Kyuseok Shim Mining the most interesting rules Roberto J. Bayardo Rakesh Agrawal MetaCost: a general method for making classifiers cost-sensitive Pedro Domingos Extending naïve Bayes classifiers using long itemsets Dimitris Meretakis Beat Wüthrich A classification-based methodology for planning audit strategies in fraud detection F. Bonchi F. Giannotti G. Mainetto D. Pedreschi Estimating campaign benefits and modeling lift Gregory Piatetsky-Shapiro Brij Masand Generalized additive neural networks William J. E. Potts Horting hatches an egg: a new graph-theoretic approach to collaborative filtering Charu C. Aggarwal Joel L. Wolf Kun-Lung Wu Philip S. Yu Discovering roll-up dependencies Jef Wijsen Raymond T. Ng Toon Calders Compressed data cubes for OLAP aggregate query approximation on continuous dimensions Jayavel Shanmugasundaram Usama Fayyad P. S. Bradley Density-based indexing for approximate nearest-neighbor queries Kristin P. Bennett Usama Fayyad Dan Geiger Using a knowledge cache for interactive discovery of association rules Biswadeep Nag Prasad M. Deshpande David J. DeWitt Using association rules for product assortment decisions: a case study Tom Brijs Gilbert Swinnen Koen Vanhoof Geert Wets A statistical theory for quantitative association rules Yonatan Aumann Yehuda Lindell A study of support vectors on model independent example selection Nadeem Ahmed Syed Huan Liu Kah Kay Sung Accelerating exact Dan Pelleg Andrew Moore Adaptive query processing for time-series data Yun-Wu Huang Philip S. Yu An efficient algorithm to update large itemsets with early pruning Necip Fazil Ayan Abdullah Uz Tansel Erol Arkun Applying general Bayesian techniques to improve TAN induction Jesús Cerquides Breaking the barrier of transactions: mining inter-transaction association rules Anthony K.H. Tung Hongjun Lu Jiawei Han Ling Feng Detecting change in categorical data: mining contrast sets Stephen D. Bay Michael J. Pazzani Evaluating a class of distance-mapping algorithms for data mining and clustering Jason Tsong-Li Wang Xiong Wang King-Ip Lin Dennis Shasha Bruce A. Shapiro Kaizhong Zhang Fast density estimation using CF-kernel for very large databases Tian Zhang Raghu Ramakrishnan Miron Livny Handling concept drifts in incremental learning with support vector machines Nadeem Ahmed Syed Huan Liu Kah Kay Sung Identifying distinctive subsequences in multivariate time series by clustering Tim Oates Information mining platforms: an infrastructure for KDD rapid deployment Corinna Cortes Daryl Pregibon Interestingness via what is not interesting Sigal Sahar Mining association rules with multiple minimum supports Bing Liu Wynne Hsu Yiming Ma Mining features for sequence classification Neal Lesh Mohammed J. Zaki Mitsunori Ogihara Mining lesion-deficit associations in a brain image database Vasileios Megalooikonomou Christos Davatzikos Edward H. Herskovits On the merits of building categorization systems by supervised clustering Charu C. Aggarwal Stephen C. Gates Philip S. Yu Prediction with local patterns using cross-entropy Heikki Mannila Dmitry Pavlov Padhraic Smyth The application of AdaBoost for distributed, scalable and on-line learning Wei Fan Salvatore J. Stolfo Junxin Zhang The impact of changing populations on classifier performance Mark G. Kelly David J. Hand Niall M. Adams Towards automated synthesis of data mining programs Wray Buntine Bernd Fischer Thomas Pressburger User profiling in personalization applications through rule discovery and validation Gediminas Adomavicius Alexander Tuzhilin Using approximations to scale exploratory data analysis in datacubes Daniel Barbará Xintao Wu Bayesian networks for lossless dataset compression Scott Davies Andrew Moore Visual classification: an interactive approach to decision tree construction Mihael Ankerst Christian Elsen Martin Ester Hans-Peter Kriegel Text mining: finding nuggets in mountains of textual data Jochen Dörre Peter Gerstl Roland Seiffert Monitoring a newsfeed for hot topics Mark Shewhart Mark Wasson Origami: a new data visualization tool Jen Que Louie Tom Kraay Discovery of fraud rules for telecommunications—challenges and solutions Saharon Rosset Uzi Murad Einat Neumann Yizhak Idan Gadi Pinkas Optimization of collection efforts in automobile financing —a KDD supported environment H. Kauderer G. Nakhaeizadeh F. Artiles H. Jeromin WAPS, a data mining support environment for the planning of warranty and goodwill costs in the automobile industry E. Hotz G. Nakhaeizadeh B. Petzsche H. Spiegelberger The PanQ tool and EMF SQL for complex data management Damianos Chatziantoniou NonStop SQL/MX primitives for knowledge discovery John Clear Debbie Dunn Brad Harvey Michael Heytens Peter Lohman Abhay Mehta Mark Melton Lars Rohrberg Ashok Savasere Robert Wehrmeister Melody Xu Mining interesting knowledge using DM-II Bing Liu Wynne Hsu Yiming Ma Shu Chen Return to KDD session listing Note: The quality of the PDF files contained herein reflects that of the material supplied to the DiSC'00 Production Team. Copyright(C) 2000 ACM