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 successfully to even the largest datasets. It begins with a discussion of the MapReduce framework, an important tool for parallelizing algorithms automatically. The authors explain the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets, and clustering. This third edition includes new and extended coverage on decision trees, deep learning, and mining social-network graphs.
Popüler yazarlar
Kolektif (523) Springer (88) Cambridge University Press (50) Marvin Bittinger (47) John Hornsby (44) BrownTrout Publisher (39) Academic Press (38) Margaret Lial (33) NA. VIKRAMAN (33) etc. (32) DK Publishing (31) Judith Beecher (31) Robert Blitzer (31) Charles Darwin (30) Springer; 1 basım (29) teNeues Calendars & Stationery GmbH & Co. KG (27) Wild Pages Press (26) David Ellenbogen (23) DK (21) Michael Sullivan (21)En İyi Yayıncılar
Independently Published CAMBRIDGE UNIVERSITY PRESS Springer John Wiley & Sons Inc Nobel Akademik Yayıncılık; Facsimile. baskı Oxford University Press Nobel Akademik Yayıncılık; 1. baskı Forgotten Books CreateSpace Independent Publishing Platform Türk Tarih Kurumu Yayınları; 1. baskı PRENTICE HALL Springer; 1 basım ACADEMIC PRESS Oxford University Press Inc Türk Tarih Kurumu Yayınları Routledge; 1 basım John Wiley & Sons CRC Press; 1 basım Clarendon Press COLUMBIA UNIVERSITY PRESS