Mining of Massive Datasets - Hardcover
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Availability:In StockContributor:Jure Leskovec, Anand Rajaraman, Jeffrey David UllmanPublish date:2020-02-13Pages:565
Language:EnglishPublisher:Cambridge University PressISBN-13:9781108476348ISBN-10:1108476341UPC:9781108476348Book Category:ComputersBook Subcategory:Artificial Intelligence, Database Administration & ManagementBook Topic:Computer Vision & Pattern RecognitionSize:9.80 x 7.20 x 1.10 inchesWeight:2.7029Product ID:SC6NHBWH7A
Mining of Massive Datasets
Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining. This book focuses on practical algorithms that have been used to solve key problems in data mining and can be applied...
Language:EnglishPublisher:Cambridge University PressISBN-13:9781108476348ISBN-10:1108476341UPC:9781108476348Book Category:ComputersBook Subcategory:Artificial Intelligence, Database Administration & ManagementBook Topic:Computer Vision & Pattern RecognitionSize:9.80 x 7.20 x 1.10 inchesWeight:2.7029Product ID:SC6NHBWH7A
Leskovec, Jure: - Jure Leskovec is Associate Professor of Computer Science at Stanford University, California. His research focuses on mining and modeling large social and information networks, their evolution, and diffusion of information and influence over them. Problems he investigates are motivated by large-scale data, the Web, and on-line media. This research has won several awards including...
Publisher: Cambridge University Press
Edition
3rd Revised Edition
Contributor(s)
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