KDD 2006 August 20 - 23, 2006    Philadelphia, USA
INDUSTRY TRACK ACCEPTED PAPERS

The Twelfth Annual SIGKDD International Conference on
Knowledge Discovery and Data Mining

August 20 - 23, 2006
Philadelphia, USA
http://www.acm.org/sigs/sigkdd/kdd2006/
http://www.kdd2006.com




FULL PAPERS


Opportunity Map: Identifying Causes of Failure - A Deployed Data Mining System
Kaidi Zhao, Bing Liu, Jeffrey Benkler, Weimin Xiao

Computer Aided Detection via Asymmetric Cascade of Sparse Hyperplane Classifiers
Jinbo Bi, Senthil Periaswamy, Kazunori Okada, Toshiro Kubota, Glenn Fung, Marcos Salganicoff, Bharat Rao

GPLAG: Detection of Software Plagiarism by Procedure Dependency Graph Analysis
Chao Liu, Chen Chen, Jiawei Han, Philip Yu

Understandable models of music collections based on exhaustive feature generation with temporal statistics
Fabian Morchen, Ingo Mierswa, Alfred Ultsch

Pragmatic Text Mining: Minimizing Human Effort to Quantify Many Issues in Call Logs
George Forman, Evan Kirshenbaum, Jaap Suermondt

Mining for Proposal Reviewers: Lessons Learned at the National Science Foundation
Seth Hettich, Michael Pazzani

Onboard Classifiers for Science Event Detection on a Remote Sensing Spacecraft
Rebecca Castano, Dominic Mazzoni, Nghia Tang, Thomas Doggett, Steve Chien, Ron Greeley, Ben Cichy, Ashley Davies



POSTER PAPERS


Discovering Significant OPSM Subspace Clusters in Massive Gene Expression Data
Byron Gao, Obi Griffith, Martin Ester, Steven Jones

Beyond Classification and Ranking: Constrained Optimization of the ROI
Lian Yan, Patrick Baldasare

Camouflaged Fraud Detection in Domains with Complex Relationships
Sankar Virdhagriswaran, Gordon Dakin

A component-based framework for Knowledge Discovery in Bioinformatics
Julien Etienne, Bernd Wachmann, Lei Zhang

Identifying "Best Bet" Web Search Results by Mining Past User Behavior
Eugene Agichtein, Zijian Zheng

Maximum Profit Mining and Its Application in Software Development
Charles X. Ling, Shengli Sheng, Tilmann Bruckhaus, Nazim H. Madhavji

Mining Citizen Science Data to Predict Abundance of Wild Bird Species
Rich Caruana, Mohamed Elhawary, Art Munson, Mirek Riedewald, Daria Sorokina, Daniel Fink, Wesley Hochachka, Steve Kelling

YALE: Rapid Prototyping for Complex Data Mining Tasks
Ingo Mierswa, Michael Wurst, Ralf Klinkenberg, Martin Scholz, Timm Euler



Program Co-Chairs:

Usama Fayyad, Yahoo! Inc., USA
Robert Grossman, Open Data Partners and University of Illinois at Chicago

Webmaster: Teresa Mah