Frequent Pattern Mining

Frequent Pattern Mining

Frequent Pattern Mining

Frequent Pattern Mining by Charu C. Aggarwal and Jiawei Han
This comprehensive reference consists of 18 chapters from prominent researchers in the field. Each chapter is self-contained, and synthesizes one aspect of frequent pattern mining. An emphasis is placed on simplifying the content, so that students and practitioners can benefit from the book. Each chapter contains a survey describing key research on the topic, a case study and future directions. Key topics include: Pattern Growth Methods, Frequent Pattern Mining in Data Streams, Mining Graph Patterns, Big Data Frequent Pattern Mining, Algorithms for Data Clustering and more. Advanced-level students in computer science, researchers and practitioners from industry will find this book an invaluable reference.
Ebook format: PDF
Ebook page: 480
File size: 11.11 MB

$55.00