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High-utility pattern mining = theory...

Fournier-Viger, Philippe.

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High-utility pattern mining = theory, algorithms and applications /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	High-utility pattern mining/ edited by Philippe Fournier-Viger ... [et al.].
其他題名:	theory, algorithms and applications /
其他作者:	Fournier-Viger, Philippe.
出版者:	Cham :Springer International Publishing : : 2019.,
面頁冊數:	viii, 337 p. :ill., digital ;24 cm.
內容註:	Introduction -- Problem Deﬁnition -- Algorithms -- Extensions of the Problem -- Research Opportunities -- Open-Source Implementations -- Conclusion.
Contained By:	Springer eBooks
標題:	Data mining. -
電子資源:	https://doi.org/10.1007/978-3-030-04921-8
ISBN:	9783030049218

High-utility pattern mining = theory, algorithms and applications /
High-utility pattern miningtheory, algorithms and applications /[electronic resource] :edited by Philippe Fournier-Viger ... [et al.]. - Cham :Springer International Publishing :2019. - viii, 337 p. :ill., digital ;24 cm. - Studies in big data,v.512197-6503 ;. - Studies in big data ;v.51..

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

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.

ISBN: 9783030049218

Standard No.: 10.1007/978-3-030-04921-8doiSubjects--Topical Terms:

562972
Data mining.

LC Class. No.: QA76.9.D343 / H544 2019

Dewey Class. No.: 006.312

High-utility pattern mining = theory, algorithms and applications /
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