SIGKDD Awards

2004 SIGKDD Best Paper Award

2004 SIGKDD Best Research Paper Awards Award

ACM 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

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