SIGKDD

ACM Special Interest Group on Knowledge Discovery and Data Mining

SIGKDD Best Application Paper Awards

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The award recognizes papers presented at the annual SIGKDD conference that highlight challenges, lessons, concerns, and research issues arising out of deploying applications of KDD technology.

2007 Sitaram Asur, Srinivasan Parthasarathy, Duygu Ucar. An Event-based Framework for Characterizing the Evolutionary Behavior of Interaction Graphs >>
2005 G. Niklas Norén, Roland Orre, and Andrew Bate. A Hit-Miss Model for Duplicate Detection in the WHO Drug Safety Database >>
2004 Jeremy Z. Kolter, and Marcus A. Maloof. Learning to Detect Malicious Executables in the Wild >>

Runner-up:
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tang, and Aidong Zhang. Mining Coherent Gene Clusters from Three-Dimensional Microarray Data >>
2003 David M. Fram, June S. Almenoff, and William DuMouchel. Empirical Bayesian Data Mining for Discovering Patterns in Post-Marketing Drug Safety >>

Runner-up:
Gregory Piatetsky-Shapiro, Tom Khabaza, and Sridhar Ramaswamy. Capturing Best Practice for Microarray Gene Expression >>
2002 Saharon Rosset, Einat Neumann, Uri Eick, Nurit Vatnik, and Yizhak Idan. Customer Lifetime Value Modeling and Its Use for Customer Retention Planning >>
2001 William DuMouchel, and Daryl Pregibon. Empirical Bayes Screening for Multi-Item Associations in Massive Datasets >>

Runner-up:
Stefan Kramer, Luc De Raedt, and Christoph Helma. Molecular Feature Mining in HIV Data >>
2000 Tony Fountain, Thomas Dietterich, and Bill Sudyka. Mining IC Test Data to Optimize VLSI Testing >>

Runner-up:
Ted Senator. Ongoing Management and Application of Discovered Knowledge in a Large Regulatory Organization: A Case Study of the Use and Impact of NASD Regulation's Advanced Detection System (ADS) >>
1999 Wenke Lee, Sal Stolfo, and Kui Mok. Mining in a Data-flow Environment: Experience in Network Intrusion Detection >>

Runner-ups:

Tom Brijs, Gilbert Swinnen, Koen Vanhoof, and Geert Wets. Using Association Rules for Product Assortment Decisions: A Case Study >>

Seth Rogers, Pat Langley, and Christopher Wilson. Mining GPS Data to Augment Road Models >>
1998 Luc Dehaspe, Hannu Toivonen, and Ross D. King. Finding frequent substructures in chemical compounds >>

Runner-up:
Wenke Lee, Salvatore Stolfo, and Kui Mok. Mining audit data to build intrusion detection models >>
1997 Padhraic Smyth, Michael Ghil, Kayo Ide, Joe Roden, and Andrew Fraser. Detecting Atmospheric Regimes using Cross-Validated Clustering >>

Runner-up:
Sal Stolfo , A. Prodromidis, and P. Chan. JAM: Java Agents for Meta-Learning over Distributed Databases >>