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Foster Provost : ウィキペディア英語版
Foster Provost
Foster Provost is Professor of information systems and NEC Faculty Fellow at New York University's Stern School of Business. Professor Provost has a Bachelor of Science from Duquesne University in physics and mathematics and an Master of Arts and Ph.D. in computer science from the University of Pittsburgh.
Professor Provost is known for his work on evaluating machine learning algorithms using ROC analysis, and for his work on social network analysis for targeted marketing.
He has won several awards, for his work:
* The 2009 INFORMS Design Science award for social network-based marketing,〔("Announcements of the winners for the Design Science Award" ) Retrieved on 2011-02-23.〕
* IBM Faculty Awards for outstanding research in data mining and machine learning,
* A President’s Award from NYNEX Science and Technology
* Best Paper Awards from the ACM SIGKDD conference,〔("List of Awards for ACM KDD 1997" ) Retrieved on 2011-02-23.〕〔("List of Awards for ACM KDD 2008" ) Retrieved on 2011-02-23.〕 and
* Awards in SIGKDD’s annual KDDCUP data mining competition.〔("Results for KDD CUP 2003" )〕
Professor Provost recently retired as Editor-in-Chief of the journal Machine Learning after 6 years. He is a member of the editorial boards of the Journal of Machine Learning Research (JMLR) and the journal Data Mining and Knowledge Discover. He was elected as a founding board member of the International Machine Learning Society.
== Sources ==


抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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