This excellent book by top Stanford researchers covers Data Mining, Map-Reduce, Finding similar items, Mining Data Streams, and much more. It was revised and published, but a version is still free to download
The book has now been published by Cambridge University Press
( 20% discount to anyone who buys the hardcopy here ).
By agreement with the publisher, you can still download it free from
i.stanford.edu/~ullman/mmds.html
The book authors are Anand Rajaraman,
@anand_raj ,
Jeff Ullman, and for version 1.1 also
Jure Leskovec.
The book includes
- Preface and Table of Contents
- Chapter 1 Data Mining
- Chapter 2 Large-Scale File Systems and Map-Reduce
- Chapter 3 Finding Similar Items
- Chapter 4 Mining Data Streams
- Chapter 5 Link Analysis
- Chapter 6 Frequent Itemsets
- Chapter 7 Clustering
- Chapter 8 Advertising on the Web
- Chapter 9 Recommendation Systems
- Chapter 10 Mining Social-Network Graphs
and you can download it from
i.stanford.edu/~ullman/mmds.html
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