Mining of Massive Datasets
Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. 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 lar… Celý popis ↓
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Mining of Massive Datasets
Written by leading authorities in database and Web technologies, this book is essential reading for students and practitioners alike. 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. The popularity of the Web and Internet commerce provides many extremely large datasets from which information can be gleaned by data mining.
The authors explain the tricks of locality-sensitive hashing and stream-processing algorithms for mining data that arrives too fast for exhaustive processing. It begins with a discussion of the MapReduce framework, an important tool for parallelizing algorithms automatically. 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
Parametre
- Výrobca
- Cambridge University Press
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