Overview

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.

ISBN-13

9783319078205

ISBN-10

3319078208

Weight

18.90 Pounds

Dimensions

6.14 x 1.06 x 9.21 In

List Price

$199.99

Edition

1st Edition

Format

Hardcover

Language

English

Pages

xix, 471 pages

Publisher

Springer

Published On

2014-09-16



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