Frequent Pattern Mining

Aggarwal, Charu C.; Han, Jiawei

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.

Details

Published by: Springer

Publication Date: 2016-09-10

Format: Paperback

ISBN-13: 9783319346892

DOI: 10.1007/978-3-319-07821-2

Dimensions: 235cm x155cm

Pages: 471