Foster Provost

From Wikipedia, the free encyclopedia
Jump to: navigation, search

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[clarification needed] analysis, and for his work on social network analysis for targeted marketing.

He has won several[weasel words] awards, for his work:

  • The 2009 INFORMS Design Science award for social network-based marketing,[1]
  • 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,[2][3] and
  • Awards in SIGKDD’s annual KDDCUP data mining competition.[4]

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.


External links[edit]