KDD-2002: Accepted Papers

Bayesian analysis of massive datasets via particle filters

Greg Ridgeway, David Madigan

Scalable Robust Covariance and Correlation Estimates for Data Mining

Fatemah A. ALqallaf, Kjell P. Konis, R. Douglas Martin, Ruben H. Zamar

MARK: A Boosting Algorithm for Heterogeneous Kernel Models

Kristin P. Bennett, Michinari Momma, Mark J. Embrechts

Selecting the Right Interestingness Measure for Association Patterns

Pang-Ning Tan, Vipin Kumar, Jaideep Srivastava

DualMiner: A Dual-Pruning Algorithm for Itemsets with Constraints

Cristian Bucila, Johannes Gehrke, Daniel Kifer, Walker White

Querying Multiple Sets of Discovered Rules

Alexander Tuzhilin, Bing Liu

Mining Knowledge-Sharing Sites for Viral Marketing

Matthew Richardson, Pedro Domingos

Efficiently Mining Frequent Trees in a Forest

Mohammed Zaki

ANF: A Fast and Scalable Tool for Data Mining in Massive Graphs

Christopher R. Palmer, Phillip B. Gibbons, Christos Faloutsos

Bursty and Hierarchical Structure in Streams

Jon Kleinberg

On the Need for Time Series Data Mining Benchmarks: A Survey and Empirical Demonstration

Eamonn Keogh, Shruti Kasetty

Query, Analysis, and Visualization of Hierarchically Structured Data using Polaris

Christopher Stolte, Diane Tang, Pat Hanrahan

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

Joerg Walter, Helge Britter

Optimizing Search Engines Using Clickthrough Data

Thorsten Joachims

Relational Markov Models and their Application to Adaptive Web Navigation

Corin R. Anderson, Pedro Domingos, Daniel S. Weld

Pattern Discovery in Sequences under a Markov Assumption

Darya Chudova, Padhraic Smyth

On Effective Classification of Strings with Wavelets

Charu C. Aggarwal

Shrinkage Estimator Generalizations of Proximal Support Vector Machines

Deepak K. Agarwal

Hierarchical Model-Based Clustering of Large Datasets Through Fractionation and Refractionation

Jeremy Tantrum, Alejandro Murua, Werner Stuetzle

Enhanced Word Clustering for Hierarchical Text Classification

Inderjit S. Dhillon, Subramanyam Mallela, Rahul Kumar

A Parallel Learning Algorithm for Text Classification

Canasai Kuengkrai, Chuleerat Jaruskulchai

A Refinement Approach to Handling Model Misfit in Text Categorization

Haoran Wu, Tong Heng Phang, Bing Liu, Xiaoli Li

Privacy Preserving Mining of Association Rules

Alexandre Evfimievski, Ramakrishnan Srikant, Rakesh Agrawal, Johannes Gehrke

Mining Frequent Item Sets by Opportunistic Projection

Junqiang Liu, Yunhe Pan, Ke Wang, Jiawei Han

PEBL: Positive Example Based Learning for Web Page Classification Using SVM

Hwanjo Yu, Jiawei Han, Kevin Chen-Chuan Chang

Web Site Mining: A new way to spot Competitors, Customers and Suppliers in the World Wide Web

Martin Ester, Hans-Peter Kriegel, Matthias Schubert

Sequential Cost-Sensitive Decision Making with Reinforcement Learning

Edwin Pednault, Naoki Abe, Bianca Zadrozny

Interactive Deduplication using Active Learning

Sunita Sarawagi, Anuradha Bhamidipaty

Transforming Data to Satisfy Privacy Constraints

Vijay S. Iyengar

Exploiting Unlabeled Data in Ensemble Methods

Kristin P. Bennett, Ayhan Demiriz, Richard Maclin

Predicting Rare Classes: Can Boosting Make Any Weak Learner Strong?

Mahesh V. Joshi, Ramesh C. Agarwal, Vipin Kumar

Efficient Handling of High-Dimensional Feature Spaces by Randomized Classifier Ensembles

Aleksander Kolcz, Xiaomei Sun, Jugal Kalita

Full Industrial/Application Papers:

From Run-time Behavior to Usage Scenarios: An Interaction-pattern Mining Approach

Mohammad El-Ramly, Eleni Stroulia, Paul Sorenson

Exploiting Response Models - Optimizing Cross-Sell and Up-Sell Opportunities in Banking

Andrew Storey, Marc-david Cohen

Customer Lifetime Value Modeling and Its Use for Customer Retention Planning

Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik, Yizhak Idan

Mining Product Reputations on the Web

Satoshi Morinaga, Kenji Yamanishi, Kenji Tateishi, Toshikazu Fukushima

Learning Domain-Independent String Transformation Weights for High Accuracy Object Identification

Sheila Tejada, Craig A. Knoblock, Steven Minton

A System for Real-time Competitive Market Intelligence

Sholom M. Weiss, Naval K. Verma

Mining Intrusion Detection Alarms for Actionable Knowledge

Klaus Julisch, Marc Dacier

Learning Nonstationary Models of Normal Network Traffic for Detecting Novel Attacks

Matthew V. Mahoney, Philip K. Chan

ADMIT: Anomaly-based Data Mining for Intrusions

Karlton Sequeira, Mohammed Zaki

Handling Very Large Numbers of Association Rules in the Analysis of Microarray Data

Alexander Tuzhilin, Gediminas Adomavicius

On the potential of domain literature for clustering and for Bayesian network learning

Peter Antal, Patrick Glenisson, Geert Fannes

Mining Heterogeneous Gene Expression with Time Lagged Recurrent Neural Networks

Yulan Liang, Arpad Kelemen

Poster Papers:

Collaborative Crawling: Mining User Experiences for Topical Resource Discovery

Charu C. Aggarwal

Sequential PAttern Mining Using Bitmap Representation

Jay Ayres, Jason Flannick, Johannes Gehrke, Tomi Yiu

Frequent Term-Based Text Clustering

Florian Beil, Martin Ester, Xiaowei Xu

A Theoretical Framework for Learning from a Pool of Disparate Data Sources

Shai Ben-David, Johannes Gehrke, Reba Schuller

Topics in 0-1 data

Ella Bingham, Heikki Mannila, Jouni K. Seppanen

Extracting Decision Trees From Trained Neural Networks

Olcay Boz

A New Two-Phase Sampling Based Algorithm for Discovering Association Rules

Bin Chen, Peter Haas, Peter Scheuermann

CVS: A Correlation-Verification Based Smoothing Technique on Information Retrieval and Term Clustering

Christina Yip Chung, Bin Chen

Learning to Match and Cluster Large High-Dimensional Data Sets For Data Integration

William W. Cohen, Jacob Richman

SECRET: A Scalable Linear Regression Tree Algorithm

Alin Dobra, Johannes Gehrke

Statistical Modeling of Large-Scale Simulation Data

Tina Eliassi-Rad, Terence Critchlow, Ghaleb Abdulla

Tumor Cell Identification using Features Rules

Bin Fang, Wynne Hsu, Mong Li Lee

Integrating Feature and Instance Selection for Text Classification

Dimitris Fragoudis, Dimitris Meretakis, Spiros Likothanassis

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

Hichem Frigui

Scaling multi-class Support Vector Machines using inter-class confusion

Shantanu Godbole, Sunita Sarawagi, Soumen Chakrabarti

Visualization Support for an User-Centered KDD Process

TuBao Ho, TrongDung Nguyen, DungDuc Nguyen

Mining Complex Models from Arbitrarily Large Databases in Constant Time

Geoff Hulten, Pedro Domingos

A Model for Discovering Customer Value for E-Content

Srinivasan Jagannathan, Jayanth Nayak, Kevin Almeroth, Markus Hofmann

SimRank: A Measure of Structural-Context Similarity

Glen Jeh, Jennifer Widom

Similarity Measure Based on Partial Information of Time series

Xiaoming Jin, Yuchang Lu, Chunyi Shi

Finding Surprising Patterns in a Time Series Database In Linear Time and Space

Eamonn Keogh, Stefano Lonardi, Bill Yuan-chi Chiu

Clustering Seasonality Patterns in the Presence of Errors

Mahesh Kumar, Nitin R. Patel, Jonathan Woo

Construct robust rule sets for classification

Jiuyong Li, Rodney Topor, Hong Shen

Instability of Decision Tree Classification Algorithms

Ruey-Hsia Li, Geneva G. Belford

Distributed Data Mining in a Chain Store Database of Short Transactions

Cheng-Ru Lin, Chang-Hung Lee, Ming-Syan Chen, Philip S. Yu

A Robust and Efficient Clustering Algorithm based on Cohesion Self-Merging

Cheng-Ru Lin, Ming-Syan Chen

Discovering Informative Content Blocks from Web Documents

Shian-Hua Lin, Jan-Ming Ho

Collusion in The U.S. Crop Insurance Program: Applied Data Mining

Bert B. Little, Walter L. Johnston, Ashley C. Lovell, Roderick M. Rejesus, Steve A. Steed

Incremental Context Mining for Adaptive Document Classification

Rey-Long Liu, Yun-Ling Lu

Evaluating Classifiers' Performance in a Constrained Environment

Anna Olecka

Discovering Word Senses from Text

Patrick Pantel, Dekang Lin

Combining Clustering and Co-training to Enhance Text Classification Using Unlabelled Data

Bhavani Raskutti, Herman Ferra, Adam Kowalczyk,

Single-shot Detection of Multiple Categories of Text using Parametric Mixture Models

Naonori Ueda, Kazumi Saito

What's the Code? Automatic Classification of Source Code Archives

Secil Ugurel, Robert Krovetz, Lee Giles, David M. Pennock, Eric J. Glover, Hongyuan Zha

Privacy Preserving Association Rule Mining in Vertically Partitioned Data

Jaideep Vaidya, Chris Clifton

Non-Linear Dimensionality Reduction Techniques for Classification and Visualization

Michail Vlachos, Carlotta Domeniconi, Dimitris Gunopulos, George Kollios, Nick Koudas

Item Selection By "Hub-Authority" Profit Ranking

Ke Wang, Ming-Yen Thomas Su

Discovery Net: Towards a Grid of Knowledge Discovery

Vasa Curcin, Moustafa Ghanem, Yike Guo, Martin Kohler,Anthony Rowe, Jameel Syed, Patrick Wendel

Making every bit count: Fast nonlinear axis scaling

Leejay Wu, Christos Faloutsos

B-EM: A Classifier Incorporating Bootstrap with EM Approach for Data Mining

Xintao Wu, Jianping Fan, Kalpathi R. Subramanian

A Unifying Framework for Outlier Detection and Change Point Detection from Non-stationary Time Series Data

Kenji Yamanishi, Jun-ichi Takeuchi

CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data

Yiling Yang, Xudong Guan, Jinyuan You

Topic-conditioned Novelty Detection

Yiming Yang, Jian Zhang, Jaime Carbonell, Chun Jin

Transforming classifier scores into accurate multiclass probability estimates

Bianca Zadrozny, Charles Elkan