Mining of Massive Datasets

Learn from experts in the field how to extract valuable information from massive datasets with this essential book on practical data mining algorithms. Perfect for students and practitioners alike, this book covers key topics such as map-reduce frameworks, stream processing, social networks, machine learning, and more. Discover proven methods for organizing and analyzing large datasets with detailed discussions on locality-sensitive hashing, PageRank, frequent itemsets, clustering, and dimensionality reduction. Keep up with the latest developments and stay ahead of the competition with this updated second edition.