
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 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.
Download Now Read OnlineBook Description
Book Detail
-
Book Title
Mining of Massive Datasets
-
Author
Jure Leskovec, Anand Rajaraman, Jeffrey David Ullman
-
Book Type
-
Date Published
-
Publisher
-
Pages
Mark Smith
Donec ullamcorper vulputate quam pharetra tempus. Nam mi eros, porta vitae tempus sit amet, blandit non elit. Cras aliquet massa non quam molestie facilisis. Duis sollicitudin mattis ante, sed suscipit mi blandit et.
jessy_arthur
Donec ullamcorper vulputate quam pharetra tempus. Nam mi eros, porta vitae tempus sit amet, blandit non elit. Cras aliquet massa non quam molestie facilisis. Duis sollicitudin mattis ante, sed suscipit mi blandit et.
cone adresson
Nam ut egestas nibh. Phasellus sollicitudin tempus neque quis gravida. Aenean a eros at ex pharetra suscipit. Proin iaculis ipsum ac ullamcorper pretium. Morbi ut leo eu felis commodo porta.
sarena doe
Nam ut egestas nibh. Phasellus sollicitudin tempus neque quis gravida. Aenean a eros at ex pharetra suscipit. Proin iaculis ipsum ac ullamcorper pretium. Morbi ut leo eu felis commodo porta.