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Book synopsis

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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Frequent Pattern Mining
• Author: Charu C. Aggarwal, Jiawei Han
• Language: English
• Binding: Paperback
• Number of pages: 471
• EAN: 9783319346892
• ISBN: 331934689X
• ID: 14208314
• Publisher: Springer International Publishing AG
• Weight: 7372 g
• Dimensions: 235 × 155 × 29 mm
• Date of publishing: 10. September 2016

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