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PAKDD 2012 Distinguished Contribution and Influential Paper Awards


 
  
The Distinguished Contribution Award goes to Prof. Huan Liu of ASU. The Most Influential Paper went to a paper on enhancing effectiveness of outlier detections. The awards will be presented at PAKDD 2012, Kuala Lumpur, 29 May - 1 June.


Date:

The Steering Committee of the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) is delighted to announce the following two awards that will be presented at this year's conference, The 16th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2012) which will be held in Kuala Lumpur, Malaysia, May 29 May - 1 June, 2012.

PAKDD 2012

PAKDD Distinguished Contribution Award 2012:

Huan Liu Professor Huan Liu of the Arizona State University, USA.

This award recognises significant and ongoing contributions in research and services to the advancement of the PAKDD community and series of conferences. Professor Huan Liu has been involved in PAKDD from its beginnings in Singapore 16 years ago. He has been an active participant and, importantly, has helped guide PAKDD to ensure its ongoing quality and relevance to the international data mining community. The award also recognises his major research contributions over many years to knowledge discovery and data mining. Congratulations to Professor Liu.

PAKDD Most Influential Paper Award 2012 (from PAKDD 2002):

Enhancing Effectiveness of Outlier Detections for Low Density Patterns,
by Jian Tang, Zhixiang Chen, Ada Wai-Chee Fu, and David Wai-Lok Cheung.
In Proceedings of the 6th Pacific-Asia Conference on Advances in Knowledge Discovery and Data Mining, (PAKDD 2002), Lecture Notes In Computer Science, Vol 2035, Pages 247-259.

The selection committee considered several criteria in coming to its decision. A review of citations was undertaken to identify a pool of candidates, followed by a challenger/champion approach to identify the winning paper. The winning paper is assessed by the committee for impact, influence, novelty, and significance. Congratulations to all the authors.

Graham Williams
Chair, Steering Committee, PAKDD


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