ISBN-10:
3030049205
ISBN-13:
9783030049201
Pub. Date:
01/19/2019
Publisher:
Springer International Publishing
High-Utility Pattern Mining: Theory, Algorithms and Applications

High-Utility Pattern Mining: Theory, Algorithms and Applications

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Overview

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.


Product Details

ISBN-13: 9783030049201
Publisher: Springer International Publishing
Publication date: 01/19/2019
Series: Studies in Big Data , #51
Edition description: 1st ed. 2019
Pages: 337
Product dimensions: 6.10(w) x 9.25(h) x (d)

Table of Contents

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

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