Philippe Fournier-Viger & Jerry Chun-Wei Lin 
High-Utility Pattern Mining [PDF ebook] 
Theory, Algorithms and Applications

Ajutor

This book presents an overview of techniques for discovering high-utility patterns (patterns with a high importance) in data. It introduces the main types of high-utility patterns, as well as the theory and core algorithms for high-utility pattern mining, and describes recent advances, applications, open-source software, and research opportunities. It also discusses several types of discrete data, including customer transaction data and sequential data.

The book consists of twelve chapters, seven of which are surveys presenting the main subfields of high-utility pattern mining, including itemset mining, sequential pattern mining, big data pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern visualization. The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns.

 

€96.29
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Cuprins

Introduction.- Problem Definition.- Algorithms.- Extensions of the Problem.- Research Opportunities.- Open-Source Implementations.- Conclusion.

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Limba Engleză ● Format PDF ● Pagini 337 ● ISBN 9783030049218 ● Mărime fișier 13.0 MB ● Editor Philippe Fournier-Viger & Jerry Chun-Wei Lin ● Editura Springer International Publishing ● Oraș Cham ● Țară CH ● Publicat 2019 ● Descărcabil 24 luni ● Valută EUR ● ID 6820661 ● Protecție împotriva copiilor DRM social

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