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OverviewFull Product DetailsAuthor: Elena Zheleva , Evimaria Terzi , Lise GetoorPublisher: Springer International Publishing AG Imprint: Springer International Publishing AG Weight: 0.221kg ISBN: 9783031007736ISBN 10: 3031007735 Pages: 96 Publication Date: 13 April 2012 Audience: Professional and scholarly , Professional & Vocational Format: Paperback Publisher's Status: Active Availability: Manufactured on demand ![]() We will order this item for you from a manufactured on demand supplier. Language: English Table of ContentsReviewsAuthor InformationElena Zheleva is a Data Scientist at LivingSocial. She received a Ph.D. in Computer Science from the University of Maryland, College Park in 2011. Her research interests lie in data mining and machine learning for social networks and social media, focusing on statistical models for prediction, evolution, and privacy. She has served on the Program Committees for KDD, AAAI, and CIKM. Evimaria Terzi is an Assistant Professor in the Department of Computer Science at Boston University. She received a Ph.D. in Computer Science from the University of Helsinki in 2007 and an M.S. from Purdue University in 2002. Before joining Boston University in 2009, she was a Research Scientist at IBM Research. Her work focuses on algorithmic data mining, with emphasis on time-series and social-network analysis. Evimaria has received the Microsoft Faculty Fellowship, and has been in the PC and Senior PC of many data-mining and database conferences including KDD, VLDB, and SIGMOD. Lise Getoor is an AssociateProfessor in the Computer Science Department at the University of Maryland, College Park. She received her Ph.D. from Stanford University in 2001. Her research interests include machine learning and reasoning under uncertainty; in addition she works in data management, visual analytics, and social network analysis. She is a board member of the International Machine Learning Society, and co-chaired ICML 2011. She has served as associate editor for ACM Transactions of Knowledge Discovery from Data, the Machine Learning Journal, and JAIR, on the AAAI Executive Council, and on the PC or senior PC of conferences including AAAI, ICML, KDD, SIGMOD, UAI, VLDB, and WWW. Tab Content 6Author Website:Countries AvailableAll regions |