Mining of Massive Datasets

Jure Leskovec, Anand Rajaraman, Jeffrey D. Ullman

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

Technical TutorialsData Science

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.

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