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Mining of Massive Datasets - Hardcover By Leskovec, Jure - GOOD
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eBay item number:275737954692
Item specifics
- Condition
- Brand
- Unbranded
- Book Title
- Mining of Massive Datasets
- MPN
- Does not apply
- ISBN
- 9781107077232
- Publication Name
- Mining of Massive Datasets
- Item Length
- 10in
- Publisher
- Cambridge University Press
- Publication Year
- 2014
- Type
- Textbook
- Format
- Hardcover
- Language
- English
- Item Height
- 1.2in
- Features
- Revised
- Item Width
- 7.1in
- Item Weight
- 35 Oz
- Number of Pages
- 476 Pages
About this product
Product Information
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. Other chapters cover the PageRank idea and related tricks for organizing the Web, the problems of finding frequent itemsets and clustering. This second edition includes new and extended coverage on social networks, machine learning and dimensionality reduction.
Product Identifiers
Publisher
Cambridge University Press
ISBN-10
1107077230
ISBN-13
9781107077232
eBay Product ID (ePID)
201655674
Product Key Features
Publication Name
Mining of Massive Datasets
Format
Hardcover
Language
English
Features
Revised
Publication Year
2014
Type
Textbook
Number of Pages
476 Pages
Dimensions
Item Length
10in
Item Height
1.2in
Item Width
7.1in
Item Weight
35 Oz
Additional Product Features
Lc Classification Number
Hf5415.125 .L46 2014
Edition Description
Revised Edition
Edition Number
2
Table of Content
Preface; 1. Data mining; 2. Map-reduce and the new software stack; 3. Finding similar items; 4. Mining data streams; 5. Link analysis; 6. Frequent itemsets; 7. Clustering; 8. Advertising on the Web; 9. Recommendation systems; 10. Mining social-network graphs; 11. Dimensionality reduction; 12. Large-scale machine learning; Index.
Copyright Date
2014
Target Audience
Scholarly & Professional
Topic
Databases / Data Mining, Databases / General
Lccn
2015-300734
Dewey Decimal
006.312
Dewey Edition
23
Illustrated
Yes
Genre
Computers
Item description from the seller
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eBay item number:275737954692
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