2004 SIGKDD Best Paper Award
2004 SIGKDD Best Research Paper Awards AwardACM SIGKDD is pleased to announce the winners of the best paper awards for 2004.
BEST RESEARCH PAPER: WINNER
Probabilistic Framework for Semi-Supervised Clustering >>
Sugato Basu, Mikhail Bilenko, and Raymond Mooney
BEST RESEARCH PAPER: RUNNER-UP
The Complexity of Mining Maximal Frequent Itemsets and Maximal Frequent Patterns
Guizhen Yang
BEST STUDENT PAPER: WINNER
Incorporating Prior Knowledge with Weighted Margin Support Vector Machines
Xiaoyun Wu, and Rohini Srihari
BEST APPLICATION PAPER: WINNER
Learning to Detect Malicious Executables in the Wild
Jeremy Z. Kolter, and Marcus A. Maloof
BEST APPLICATION PAPER: RUNNER-UP
Mining Coherent Gene Clusters from Three-Dimensional Microarray Data
Daxin Jiang, Jian Pei, Murali Ramanathan, Chun Tang, and Aidong Zhang