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High-utility pattern miningtheory, a...

Fournier-Viger, Philippe.

High-utility pattern miningtheory, algorithms and applications /

Record Type:	Electronic resources : Monograph/item
Title/Author:	High-utility pattern miningedited by Philippe Fournier-Viger ... [et al.].
Reminder of title:	theory, algorithms and applications /
other author:	Fournier-Viger, Philippe.
Published:	Cham :Springer International Publishing :2019.
Description:	viii, 337 p. :ill., digital ;24 cm.
Contained By:	Springer eBooks
Subject:	Data mining.
Online resource:	https://doi.org/10.1007/978-3-030-04921-8
ISBN:	9783030049218$q(electronic bk.)

High-utility pattern miningtheory, 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.1..

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$q(electronic bk.)

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

184440
Data mining.

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

Dewey Class. No.: 006.312

High-utility pattern miningtheory, algorithms and applications /
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505 0 $a Introduction -- Problem Deﬁnition -- Algorithms -- Extensions of the Problem -- Research Opportunities -- Open-Source Implementations -- Conclusion.
520 $a 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.
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