2012 IEEE ICDM Research Contributions Award: 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 Nomination and Evaluation Committees


From Xindong Wu (xwu AT uvm.edu) on October 15, 2012.