IEEE ICDM 2012 Research and Service Awards

Professor Jerome H. Friedman

The IEEE ICDM Research Contributions Award is given to one individual or one group who has made influential contributions to the field of data mining. The 2012 IEEE ICDM Research Contributions Award goes to Professor Jerome H. Friedman at Stanford University, a Fellow of the National Academy of Sciences of the USA and the American Academy of Arts and Sciences. Jerome Friedman has been a Professor of Statistics at Stanford University for over 20 years. He has published on a wide range of data-mining topics, including nearest neighbor classification, logistic regression, and high-dimensional data analysis. Through his many seminal publications over the years, he has had a major impact in data mining.

His outstanding research and scholarship have been recognized over the years by his election to various academic societies, his selection as the presenter of distinguished lectures in statistics, and the recipient of several best paper awards. In 2010, he was elected to the National Academy of Sciences of the USA while, in 2005, he was elected to the American Academy of Arts and Sciences. Previously, he was elected to fellowship of the American Statistical Association (ASA). In 2002, he won the ACM SIGKDD Innovation Award. Concerning the presentation of named lectures for the main statistical societies in the USA, Professor Friedman gave the Rietz Lecture of the Institute of Mathematical Sciences (IMS) in 1999, the Wald Lectures of the IMS in 2009, and the Noether Senior Lecture of the ASA in 2010. Best papers awards were received from the Journal of the American Statistical Association (1980 and 1985) and Technometrics (1988 and 1992).

Professor Friedman's contributions have received numerous citations and he is a Thomson Reuters ISI Highly Cited Author in the category of Mathematics (which includes the fields of statistics, machine learning, and data mining). His papers that include his widely cited work on multivariate adaptive regression splines (MARS) have received also many thousands of citations in Google Scholar. In addition, he is the coauthor of two of the most widely used and cited books in statistics, machine learning, and data mining, Classification and Regression Trees (with Leo Breiman, Richard Olshen, and Charles Stone), which was first published in 1984, and The Elements of Statistical Learning: Data Mining, Inference and Prediction (with Trevor Hastie and Rob Tibshirani), first published in 2009. The former book has received over 20,000 citations in Google Scholar, while the latter has received over 14,000 citations.

2012 IEEE ICDM Outstanding Service Award:

Professor Wei Wang

The IEEE ICDM Outstanding Award is given to one individual or one group who has made major service contributions that have promoted data mining as a field and ICDM as the world's premier research conference in data mining. The 2012 IEEE ICDM Outstanding Service Award goes to Dr. Wei Wang, Professor of Computer Science at the University of California at Los Angeles, USA.

Wei Wang was a professor at the University of North Carolina at Chapel Hill from 2002 to 2012 and a research staff member at IBM from 1999 to 2002. She has a long history of promoting ICDM and the data mining field. She has been actively involved in ICDM since its inception in 2001 as a paper author, reviewer, and organizer. She has served as General Co-Chair (2011), Program Co-Chair (2009), Awards Chair (2010), Program Vice Chair (2007, 2010, 2012) and a Program Committee member (2004, 2005, 2006, 2008).

... Wei Wang has also made significant contributions to the research areas of clustering high-dimensional data, sequential pattern mining, and graph mining. She is a pioneer in applying data mining methods to biomedical domains. She has published over 150 research papers including two best paper awards. Her articles received thousands of citations in Google Scholar.

Dr. Wang has been very active in recruiting, mentoring, and promoting young researchers, especially students from underrepresented groups, in the data mining field. She led the effort of applying for NSF support for student travel awards to ICDM 2011 in Vancouver, Canada. Together with industrial sponsorships, ICDM 2011 was able to support 64 students to attend the conference, who were not able to make the trip otherwise. This is a record high number of student travel awards in the ICDM history. A half of the travel award recipients were female or minority students.

2012 IEEE ICDM Nomination and Evaluation Committees

• Christopher W. Clifton (Co-Chair), Purdue University, USA
• Xindong Wu (Co-Chair), University of Vermont, USA
• David J. Hand, Imperial College, London, UK
• Vipin Kumar, University of Minnesota, USA
• Heikki Mannila, University of Helsinki, Finland
• Shusaku Tsumoto, Shimane University, Japan
• Benjamin W. Wah, Chinese University of Hong Kong, China
• Osmar R. Zaiane, University of Alberta, Canada