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Frequent Pattern Mining (Repost)

Posted By: AvaxGenius
Frequent Pattern Mining (Repost)

Frequent Pattern Mining by Charu C. Aggarwal, Jiawei Han
English | PDF (True) | 2014 | 480 Pages | ISBN : 3319078208 | 11.1 MB

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.

Pattern Mining with Evolutionary Algorithms (Repost)

Posted By: AvaxGenius
Pattern Mining with Evolutionary Algorithms (Repost)

Pattern Mining with Evolutionary Algorithms by Sebastián Ventura
English | PDF,EPUB | 2016 | 199 Pages | ISBN : 3319338579 | 10.6 MB

This book provides a comprehensive overview of the field of pattern mining with evolutionary algorithms. To do so, it covers formal definitions about patterns, patterns mining, type of patterns and the usefulness of patterns in the knowledge discovery process. As it is described within the book, the discovery process suffers from both high runtime and memory requirements, especially when high dimensional datasets are analyzed. To solve this issue, many pruning strategies have been developed.