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PAKDD Distinguished Contribution Award 2014 15 May 2014

The Distinguished Contributions Award is awarded to a member of our community to recognise and honour an individual who has made significant and continued contributions in research and services to the advancement of the PAKDD conferences. The selection committee for 2014 was chaired by Professor Jaideep Srivastava of the University of Minnesota, supported by Professors David Cheung of the University of Hong Kong and Masaru Kitsuregawa of Tokyo University.

The 2014 PAKDD Distinguished Contribution is awarded to Professor Kyu-Young Whang, a Distinguished Professor of the Korean Advanced Institute of Science and Technology. This award recognises significant and ongoing contributions in research and services to the advancement of the PAKDD community and series of conferences. Professor Whang has been involved in PAKDD since PAKDD 2003. He has been an active supporter, contributing to the steering committee since then and has guided PAKDD over the years to maintain a strong conference supporting data mining across the region. The award also recognises his major research contributions over many years to data engineering and data mining. Congratulations to Professor Whang.

PAKDD Most Influential Paper Award 2014 15 May 2014

The Most Influential Paper Award is an award for a paper published at PAKDD tens years ago. The award recognises a paper that has had significant influence over the past decade. Google Scholar is used to identify a candidate pool of papers and these papers are then reviewed by the awards committee to consider the quality of citations. An important criteria is that the paper should present novel and big ideas which change our way of thinking. A challenger/champion approach is used by the awards committee to identify the most influential paper. The awards committee for 2014 was chaired by Professor Huan Liu, Arizona State University, USA, supported by Professor Joshua Huang of Shenzhen University, China, and Professor Thanaruk Theeramunkong, Thammasat University, Thailand.

The 2014 award for Most Influential Paper from PAKDD 2004 goes to Shantanu Godbole now of IBM India and Sunita Sarawagi of the Indian Institute of Technology, for their paper title Discriminative Methods for Multi-labeled Classification. The paper proposes to exploit the co-occurrence relationships of classes to label sets of documents, developing a new support vector machine ensemble to tackle the problem of multi-labelled text classification.

PAKDD 2014 Program Committee Awards 15 May 2014

  • Best Research Paper Lei Duan, Guanting Tang, Jian Pei, James Bailey, Guozhu Dong, Akiko Campbell, and Changjie Tang: Mining Contrast Subspaces

  • Runner-Up Best Research Paper Yang Wang, Xuemin Lin, Qing Zhang, and Lin Wu: Shifting Hypergraphs by Probabilistic Voting

  • Best Application Paper Xiaofei Yang, Jiming Liu, William Kwok Wai Cheung, and Xiao-Nong Zhou: Inferring Metapopulation Based Disease Transmission Networks

  • Best Student Paper Tianqing Zhu, Gang Li, Wanlei Zhou, Ping Xiong, and Cao Yuan: Deferentially Private Tagging Recommendation based on Topic Model

  • Runner-Up Best Student Paper Miguel Araujo, Spiros Papadimitriou, Stephan Gunnemann, Christos Faloutsos, Prithwish Basu, Ananthram Swami, Evangelos E. Papalexakis, and Danai Koutra: Com2: Fast Automatic Discovery of Temporal (’Comet’) Communities

Distinguished Contribution Awards

Each year the Steering Committee of the Pacific Asia Conference on Knowledge Discovery and Data Mining presents an award for The Most Distinguished Contribution. The purpose of the PAKDD Distinguished Contribution Award is to recognise and honour an individual who has made significant and continued contributions in research and services to the advancement of the PAKDD conferences.

  • 2013: The 2013 award for PAKDD Distinguished Contribution was awarded to Professor Jaideep Srivastava of the University of Minnesota, USA. This award recognises significant and ongoing contributions in research and services to the advancement of the PAKDD community and series of conferences. Professor Srivastava has been involved in PAKDD since PAKDD 2006 where he was the conference General Co-Chair. He has been an active supporter, contributing to the steering committee since then and has guided PAKDD administratively, and supported ongoing participation in the conference series. The award also recognises his major research contributions over many years to knowledge discovery and data mining. Congratulations to Professor Srivastava.

  • 2012: The 2012 award for Most Distinguished Contribution went to Professor Huan Liu of the Arizona State University, USA. Professor 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.

  • 2011: The 2011 award for Most Distinguished Contribution went to Professor Graham Williams, Director and Senior Data Miner of the Australian Taxation Office, and Adjunct Professor, Australian National University, University of Canberra, and Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences. Graham is a key supporter of PAKDD and has made significant contribution to PAKDD since the inauguration of the conference. He has served in many roles in the PAKDD conference series. He has been the Steering Committee Co-Chair and Treasurer since 2001. He was the Organization Committee Chair of PAKDD 1998, Program Co-Chair of PAKDD 2001, Industrial Chair of PAKDD 2004 and the Tutorial Chair of PAKDD 2007. He is also the founder and Steering Committee Co-Chair of the Australasian Data Mining Conference series. Graham has made significant technical contributions with considerable success in the application of data mining technology to real world problems. His pivotal role in deploying data mining in industry was recognised by the Australian Taxation Office with an Innovation Award in 2006 and an Australia Day award in 2007. Graham has published extensively in data mining in many important conferences and journals. He is the author of the immensely popular open source Rattle data mining software and a keen advocate of freely sharing research software. His Internet book Data Mining Desktop Survival Guide is a highly popular tool book for data mining practitioners and this will be published shortly under the title Data Mining with Rattle and R: The Art of Excavating Data for Knowledge Discover, by Springer.

  • 2010: The 2010 award for Most Distinguished Contribution went to Professor Masaru Kitsuregawa of the University of Tokyo. Masaru has been very active in his support and contribution to PAKDD over many years. He has served various roles in a number of PAKDD conferences, including as conference chair for 2000, 2009 and 2010, and program co-chair for 2006. He continues to provide guidance as a life member of the PAKDD Steering Committee. He is also a highly respected researcher in data mining and databases. He was a member of the VLDB Trustee during 1996-2002. He served as the co-general chair of IEEE ICDE 2005, held in Tokyo. He is serving as an Asian Coordinator of the IEEE Technical Committee on Data Engineering as well as chair of several well known database and data mining conferences. He is leading a large project named 'Info-plosion' in Japan. In 2009 he received the ACM SIGMOD E. F. Codd Innovation Award.

  • 2009: The 2009 award for most distinguished contribution went to Professor David Cheung, Head of the Department of Computer Science and Director of the Center for E-Commerce Infrastructure Development, of the University of Hong Kong for his persistent outstanding contributions to PAKDD and eminent academic record. The citation for the award notes that Professor Cheung has been associated with the PAKDD Conference since it inception, serving on the steering committee since 2001 including a period as the chair of the steering committee. He was chair of the program committee of the fifth and ninth PAKDD conferences, in 2001 and 2005 and conference chair of PAKDD 2007. Professor Cheung has actively promoted the conference series in the Asia Pacific region and beyond and continues to encourage his own students and colleagues to contribute to the PAKDD series of conferences. Professor Cheung has a distinguished academic research career, introducing many new students to data mining and pushing forward the boundaries of research in data mining. His publications appear in many highly regarded conferences and journals. He and his students continue to support PAKKD as a conference of choice for presentation of esearch.

  • 2007: The 2007 award for most distinguished contribution went to Professor Ramamohanarao Kotagiri, FIEAust, FTSE, FAA, Professor, Department of Computer Science and Software Engineering, The University of Melbourne. Professor Kotagiri has a long and distinguished academic research career. He is well known for his pioneering work on hashing and information retrieval in database management, new techniques for intelligent, efficient and expressive database queries, the theory and practice of emerging patterns, intrusion detection and text mining. His publications have appeared in many highly regarded conferences and journals, including PAKDD, KDD, ICDM and PKDD, and IEEE TKDE, Data Mining and Knowledge Discovery, Machine Learning and Knowledge and Information Systems. He is a member of the Australian Academy of Science and also the Australian Academy of Technological Science and Engineering. He has also served on the Prime Minister's Science and Engineering Innovation Council.

  • 2006: Professor Hiroshi Motoda

  • 2005: Professor Hongjun Lu

Most Influential Paper Awards

Each year the steering committee of the Pacific Asia Conference on Knowledge Discovery and Data Mining presents an award for The Most Influential Paper.

The candidates for the Most Influential Paper Award are those papers published at this conference tens years prior to the current conference. The award recognises a paper that has had significant influence over the past decade. Google Scholar is used to identify a candidate pool of papers. These papers are then reviewed by the awards committee to consider the quality of citations. An important criteria is that the paper should present novel and big ideas which change our way of thinking. A challenger/champion approach is used by the awards committee to identify the most influential paper. The awards committee informs the winner of the award.

  • 2012: 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.

  • 2011: Evaluation of Interestingness Measures for Ranking Discovered Knowledge by Robert J. Hilderman and Howard J. Hamilton. Lecture Notes In Computer Science, Vol 2035. Proceedings of the 5th Pacific-Asia Conference on Knowledge Discovery and Data Mining, 2001. Pages 247 - 259. This paper introduced a new framework for considering how we measure the interestingness of discoveries, and has been adopted widely by other researchers.

  • 2010: Feature Selection for Clustering by Manoranjan Dash and Huan Liu. Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD 2000), Lecture Notes In Computer Science, Vol 1805, Springer, 2000. Pages 110 - 121.

  • 2009: Mining Access Patterns Efficiently from Web Logs by Jian Pei, Jiawei Han, Behzad Mortazavi-Asl, Hua Zhu. Proceedings of the 4th Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD 2000), Lecture Notes In Computer Science, Vol 1805, Springer, 2000

  • 2008: An Analysis of Quantitative Measures Associated with Rules by Yiyu Yao and Ning Zhong. Proceedings of the 3rd Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD 1999), Lecture Notes In Computer Science, Vol 1574, Springer, 1999

  • 2006: Clustering Large Data Sets with Mixed Numeric and Categorical Values by Zhexue Huang. Proceedings of the 1st Pacific-Asia Conference on Knowledge Discovery and Data Mining, (PAKDD 1997), Singapore, World Scientific, 1997. Pages 21-35

Best Paper Awards

Each year the program committee for that year's Pacific Asia Conference on Knowledge Discovery and Data Mining presents various awards for the best research paper, the best applications paper, and the best student paper.

2010

  • Best Paper Leman Akoglu, Mary McGlohon and Christos Faloutsos. OddBall: Spotting Anomalies in Weighted Graphs

  • Best Paper Runner Up Tao Yang, Longbing Cao and Chengqi Zhang. A Novel Prototype Reduction Method for the K-Nearest Neighbor Algorithm with K>=1

  • Best Student Paper Wanhong Xu. Supervising Latent Topic Model for Maximum-Margin Text Classification and Regression

  • Best Student Paper Runner Up Pallika Kanani, Andrew McCallum and Shaohan Hu. Resource-bounded Information Extraction: Acquiring Missing Feature Values On Demand


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Celebrating 20 years of Data Mining and Knowledge Discovery in the Asia Pacific Region