Mining of massive datasets/
Material type: TextPublication details: Delhi: Cambridge University Press, 2014Edition: 2nd edDescription: xi, 467pISBN:- 9781316638491
- 006.312 LES
Item type | Current library | Call number | Status | Date due | Barcode | |
---|---|---|---|---|---|---|
Book | IIM Kashipur | 006.312 LES (Browse shelf(Opens below)) | Available | 8809 |
Includes index.
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 map-reduce 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.
There are no comments on this title.