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“This multiauthor volume offers a thorough review of methods in frequent pattern mining. ... This volume will be an essential reference for both researchers and practitioners in data mining.” (H. Van Dyke Parunak, Computing Reviews, March, 2016)
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Book Description Condition: New. Book is in NEW condition. 1.94. Seller Inventory # 3319078208-2-1
Book Description Gebunden. Condition: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Proposes numerous methods to solve some of the most fundamental problems in data mining and machine learningPresents various simplified perspectives, providing a range of information to benefit both students and practitionersIncludes survey. Seller Inventory # 4497996
Book Description Buch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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. 492 pp. Englisch. Seller Inventory # 9783319078205
Book Description Condition: New. New! This book is in the same immaculate condition as when it was published 1.94. Seller Inventory # 353-3319078208-new
Book Description Buch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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. Seller Inventory # 9783319078205