Frequent Pattern Mining
- ISBN-10
- 3319078216
- ISBN-13
- 9783319078212
- Category
- Computers
- Pages
- 471
- Language
- English
- Published
- 2014-08-29
- Publisher
- Springer
- Authors
- Jiawei Han, Charu C. Aggarwal
Description
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.
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