Features

I. Full Research Papers:

Query, Analysis, and Visualization of Hierarchically Structured Data using Polaris Christopher Stolte, Diane Tang, Pat Hanrahan

DualMiner: A Dual-Pruning Algorithm for Itemsets with Constraints Daniel Kifer, Cristian Bucila, Johannes Gehrke, Walker White

Pattern Discovery in Sequences under a Markov Assumption Padhraic Smyth, Darya Chudova

Efficiently Mining Frequent Trees in a Forest Mohammed Zaki

Relational Markov Models and their Application to Adaptive Web Navigation Corin Anderson, Pedro Domingos, Daniel Weld

PEBL: Positive Example Based Learning for Web Page Classification Using SVM Hwanjo Yu, Jiawei Han

Web Site Mining: A new way to spot Competitors, Customers and Suppliers in the World Wide Web Matthias Schubert, Martin Ester, Hans-Peter Kriegel

On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration Eamonn Keogh, Shruti Kasetty

Mining Frequent Item Sets by Opportunistic Projection Junqiang Liu, Jiawei Han, Ke Wang, Yunhe Pan

ANF: A Fast and Scalable Tool for Data Mining in Massive Graphs Christopher Palmer, Christos Faloutsos, Phillip Gibbons

Sequential Cost-Sensitive Decision Making with Reinforcement Learning Edwin Pednault, Wei Fan, Haixun Wang, Naoki Abe, Bianca Zadrozny, Chidanand Apte

Mining Knowledge-Sharing Sites for Viral Marketing Matthew Richardson, Pedro Domingos

On Interactive Visualization of high-dimensional Data using the Hyperbolic Plane Jorg Walter

MARK: A Boosting Algorithm for Heterogeneous Kernel Models Kristin Bennett, Michinari Momma, Mark Embrechts

Enhanced Word Clustering for Hierarchical Text Classification Inderjit Dhillon, Subramanyam Mallela, Rahul Kumar

Bayesian analysis of massive datasets via particle filters Greg Ridgeway, David Madigan

Optimizing Search Engines Using Clickthrough Data Thorsten Joachims

Efficient Handling of High-Dimensional Feature Spaces by Randomized Classifier Ensembles Kolcz Aleksander, xiaomei Sun, Jugal Kalita

Predicting Rare Classes: Can Boosting Make Any Weak Learner Strong? Mahesh Joshi, Vipin Kumar, Ramesh Agarwal

Privacy Preserving Mining of Association Rules Alexandre Evfimievski, Johannes Gehrke, Ramakrishnan Srikant, Rakesh Agrawal

Bursty and Hierarchical Structure in Streams Jon Kleinberg

A Parallel Learning Algorithm for Text Classification Canasai Kuengkrai, Chuleerat Jaruskulchai

Scalable Robust Covariance and Correlation Estimates for Data Mining Fatemah ALqallaf, Ruben H. Zamar, Kjell Konis, Douglas Martin

Transforming Data to Satisfy Privacy Constraints Vijay Iyengar

A Refinement Approach to Handling Model Misfit in Text Categorization Tong Heng Phang, Bing Liu, Xiaoli Li Li, Haoran Wu

Shrinkage Estimator Generalizations of Proximal Support Vector Machines Deepak Agarwal

Interactive Deduplication using Active Learning Sunita Sarawagi,Anuradha Bhamidipaty

Hierarchical Model-Based Clustering of Large Datasets Through Fractionation and Refractionation. Jeremy Tantrum, Werner Stuetzle, Alejandro Murua

On Effective Classification of Strings with Wavelets Charu Aggarwal

Exploiting Unlabeled Data in Ensemble Methods Kristin Bennett,Ayhan Demiriz, Richard Maclin

Querying Multiple Sets of Discovered Rules Alexander Tuzhilin, Bing Liu

Selecting the Right Interestingness Measure for Association Patterns Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava

II. Full Industrial/Application Papers:

Exploiting Response Models - Optimizing Cross-Sell and Up-Sell Opportunities in Banking Andrew Storey, Marc-david Cohen

Learning Domain-Independent String Transformation Weights for High Accuracy Object Identification Sheila Tejada, Craig A. Knoblock, Steven Minton

Mining Intrusion Detection Alarms for Actionable Knowledge Klaus Julisch, Marc Dacier

Customer Lifetime Value Modeling and Its Use for Customer Retention Planning Einat Neumann, Saharon Rosset, Uri Eick

A System for Real-time Competitive Market Intelligence Sholom Weiss, Naval Verma

Learning Nonstationary Models of Normal Network Traffic for Detecting Novel Attacks Matt Mahoney, Philip K. Chan

Handling Very Large Numbers of Association Rules in the Analysis of Microarray Data Gediminas Adomavicius, Alexander Tuzhilin

Mining Product Reputations on the Web Satoshi MORINAGA, Kenji Yamanishi, Kenji Tateishi, Toshikazu Fukushima

Interaction-pattern Mining for Software Requirements Recovery Mohammad el-ramly, Eleni Stroulia, Paul Sorenson

On the potential of domain literature for Bayesian network learning and for clustering Peter Antal, Patrick Glenisson, Geert Fannes, Janick Mathys, Bart De Moor, Yves Moreau

ADMIT: Anomaly-based Data Mining for Intrusions Mohammed Zaki, Karlton Sequeira

Mining Heterogeneous Gene Expression with Time Lagged Recurrent Neural Networks Yulan Liang, Arpad Kelemen

III. Poster Papers:

Privacy Preserving Association Rule Mining in Vertically Partitioned Data Jaideep Vaidya, Chris Clifton

Incremental Context Mining for Adaptive Document Classification Rey-Long Liu, Yun-Ling Lu

Construct robust rule sets for classification Jiuyong Li, Rodney Topor, Hong Shen

Tumor Cell Identification using Features Rules Wynne Hsu, Mong Li Lee, Bin Fang

Combining Clustering and Co-training to Enhance Text Classification Using Unlabelled Data Bhavani Raskutti, Adam Kowalczyk, Herman Ferra

Converting A Trained Neural Network To A Decision Tree DecText - Decision Tree Extractor Olcay Boz

Finding all Surprising Patterns in a Time Series Database In Linear Time and Space Eamonn Keogh, Bill 'Yuan-chi' Chiu, Stefano Lonardi

Topics in 0-1 data Ella Bingham, Heikki Mannila, Jouni K. Seppanen

Scaling multi-class Support Vector Machines using inter-class confusion Shantanu Godbole, Sunita Sarawagi, Soumen Chakrabarti

SyMP: An Efficient Clustering Approach to Identify Clusters of Arbitrary Shapes in Large Data Sets Hichem Frigui

Distributed Data Mining in a Chain Store Database of Short Transactions Chang-Hung Lee, Philip Yu, Ming-Syan Chen, Cheng-Ru Lin

CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data Yiling Yang, Xudong Guan, Jinyuan You

Instability of Decision Tree Classification Algorithms Ruey-Hsia Li, Geneva Belford

SimRank: A Measure of Structural-Context Similarity Glen Jeh, Jennifer Widom

Collusion in The U.S. Crop Insurance Program: Applied Data Mining Bert Little, Walter Johnston, Ashley Lovell, Roderick Rejesus, Steve Steed

A Model for Discovering Customer Value for E-Content Srinivasan Jagannathan, Jayanth Nayak, Kevin Almeroth, Markus Hofmann

Discovery Net: Towards a Grid of Knowledge Discovery Patrick Wendel, Yike Guo, Vasa Curcin, Moustafa Ghanem, Martin Kohler, Jameel Syed, Anthony Rowe

Mining Complex Models from Arbitrarily Large Databases in Constant Time Geoff Hulten, Pedro Domingos

Integrating Feature and Instance Selection for Text Classification Dimitris Meretakis, Dimitris Fragoudis, Spiros Likothanassis

A New Two-Phase Sampling Based Algorithm for Discovering Association Rules Bin Chen, Haas Peter, Peter Scheuermann

A Theoretical Framework for Learning from a Pool of Disparate Data Sources Shai Ben-David, Johannes Gehrke, Reba Schuller

Frequent Term-Based Text Clustering Martin Ester, Xiaowei Xu, Florian Beil

CVS: A Correlation-Verification Based Smoothing Technique on Information Retrieval and Term Clustering Christina Yip Chung, Bin Chen

Topic-conditioned Novelty Detection Jian Zhang,Yiming Yang, Jaime Carbonell, Chun Jin

A Robust and Efficient Clustering Algorithm based on Cohesion Self-Merging Ming-Syan Chen, Cheng-Ru Lin

Sequential PAttern Mining Using Bitmaps Jay Ayres, Johannes Gehrke, Tomi Yiu, Jason Flannick

Non-Linear Dimensionality Reduction Techniques for Classification and Visualization Michail Vlachos, Dimitris Gunopulos, George Kollios, Carlotta Domeniconi, Niko Koudas

SECRET: A Scalable Linear Regression Tree Algorithm Alin Dobra, Johannes Gehrke

Item Selection By "Hub-Authority" Profit Ranking Ke Wang, Ming-Yen Thomas Su

Discovering Word Senses from Text Dekang Lin, Patrick Pantel

Making every bit count: Fast nonlinear axis scaling Leejay Wu, Christos Faloutsos

Clustering Seasonality Patterns in the Presence of Errors Mahesh Kumar, Nitin Patel, Jonathan Woo

Learning to Match and Cluster Large High-Dimensional Data Sets For Data Integration William Cohen, Jacob Richman

Transforming classifier scores into accurate multiclass probability estimates Bianca Zadrozny, Charles Elkan

Single-shot Detection of Multiple Categories of Text using Parametric Mixture Models Naonori Ueda, Kazumi Saito

B-EM: A Classifier Incorporating Bootstrap with EM Approach for Data Mining Xintao Wu, Jianping Fan, Kalpathi Subramanian

Collaborative Crawling: Mining User Experiences for Topical Resource Discovery Charu Aggarwal

A Unifying Framework for Outlier Detection and Change Point Detection from Non-stationary Time Series Data Jun-ichi Takeuchi, Kenji Yamanishi

Similarity Measure Based on Partial Information of Time series Xiaoming Jin, Yuchang Lu, Chunyi Shi

Visualization Support for an User-Centered KDD Process TrongDung Nguyen, Dung Nguyen Duc, Bao Ho Tu

What's the Code? Classification of Source Code Archives Lee Giles, Secil Ugurel, Robert Krovetz, David Pennock, Eric Glover, Hongyuan Zha

Statistical Modeling of Large-Scale Simulation Data Tina Eliassi-Rad, Terence Critchlow, Ghaleb Abdulla

Discovering Informative Content Blocks from Web Documents Shian-Hua Lin, Jan-Ming Ho

Evaluating Classifiers Performance in a Constrained Environment Anna Olecka

see KDD-2002 website at http://www.acm.org/sigkdd/kdd2002/