Mining of Massive Datasets

Comprehensive guide to data mining, machine learning, and analysis of massive datasets, including techniques for similarity search, data-stream processing, and graph analysis.

Introduction

Mining of Massive Datasets by Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman is a comprehensive guide to data mining, machine learning, and analysis of massive datasets.

Highlights

• Covers distributed file systems and map-reduce for parallel algorithms
• Includes techniques for similarity search, data-stream processing, and search engine technology
• Discusses frequent-itemset mining, clustering algorithms, and graph analysis
• Covers dimensionality reduction and machine learning algorithms for large data

Recommendation

This book is recommended for students and professionals interested in data mining, machine learning, and analysis of large-scale datasets, especially those related to the web and social networks.