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Awards
We are pleased to announce
the Best Paper Award and Best Student Paper
Award winners of PAKDD2006:
Best Paper (and Best Student
Paper):
Variable Randomness in Decision
Tree Ensembles, Fei Tony Liu, Kai Ming Ting,
Monash University, Australia
Best Student Paper:
Extracting and Summarizing
Hot Item Features across Different Auction Web
Sites, Tak-Lam Wong, Wai Lam, Shing-Kit Chan,
Chinese University of Hong Kong, China
We gratefully thank the Members of the Awards
Evaluation Committee for their efforts and time
to evaluate the nominated papers:
Ho Tu Bao, Japan Advanced
Institute of Science and Technology, Japan
Huan Liu, Arizona State University, USA
S. Sastry, Indian Institute of Science, India
Nominated Papers for Best
Student Paper Award:
1. Parallel Randomized Support
Vector Machine, Yumao Lu, Vwani Roychowdhury,
University of California, Los Angeles, USA
2. Boosting Prediction Accuracy
on Imbalanced Datasets with SVM Ensembles, Yang
Liu, Aijun An, Xiangji Huang, York University,
Canada
3. Mining Interesting Imperfectly
Sporadic Rules, Yun Sing Koh, Nathan Rountree,
Richard O’Keefe, University of Otago,
New Zealand
4. A systematic study of parameter
correlations in large scale duplicate document
detection, Shaozhi Ye, Ji-Rong Wen, Wei-Ying
Ma, University of California, Davis, Microsoft
Research Asia
5. Extracting and Summarizing
Hot Item Features across Different Auction Web
Sites, Tak-Lam Wong, Wai Lam, Shing-Kit Chan,
Chinese University of Hong Kong, China
Nominated Papers for Best
Paper Award:
1. Variable Randomness in
Decision Tree Ensembles, Fei Tony Liu, Kai Ming
Ting, Monash University, Australia
2. Quality-Aware Association
Rule Mining, Laure Berti-Équille, L'Institut
de recherche en informatique et systèmes
aléatoires, Campus Universitaire de Beaulieu,
France
3. A Nonparametric Outlier
Detection Technique for Effectively Discovering
Top-N outliers from Engineering Data, Hongqin
Fan, Osmar Zaïane, Andrew Foss, Junfeng
Wu, University of Alberta, Canada
4. Scoring Method for Tumor
Prediction from Microarray Data Using an Evolutionary
Fuzzy Classifier, Shinn-Ying Ho, Chih-Hung Hsieh,
Kuan-Wei Chen, Hui-Ling Huang, Hung-Ming Chen,
Shinn-Jang Ho, National Chiao Tung University,
Feng Chia University, National Formosa University,
Taiwan
5. Multistep-ahead Time Series
Prediction, Haibin Cheng, Pang-Ning Tan, Jing
Gao, Jerry Scripps, Michigan State University,
USA
6. Extracting and Summarizing
Hot Item Features across Different Auction Web
Sites, Tak-Lam Wong, Wai Lam, Shing-Kit Chan,
Chinese University of Hong Kong, China
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