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> Mining of Massive Datasets

Mining of Massive Datasets

Authors

Jure Leskovec, Stanford University, California, Anand Rajaraman, Rocketship VC, Jeffrey David Ullman, Stanford University, California

Description

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…

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Key features

  • Contains brand new material on deep learning, decision trees, and mining social-network graphs
  • Includes a range of more than 250 exercises to challenge even the most able student
  • Slides, homework assignments, project requirements, and exams are available from www.mmds.org

About the book

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