High-Utility Pattern Mining: Theory, Algorithms and Applications

Author:   Philippe Fournier-Viger ,  Jerry Chun-Wei Lin ,  Roger Nkambou ,  Bay Vo
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   51
ISBN:  

9783030049201


Pages:   337
Publication Date:   31 January 2019
Format:   Hardback
Availability:   Manufactured on demand   Availability explained
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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.  

Full Product Details

Author:   Philippe Fournier-Viger ,  Jerry Chun-Wei Lin ,  Roger Nkambou ,  Bay Vo
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2019
Volume:   51
Weight:   0.688kg
ISBN:  

9783030049201


ISBN 10:   3030049205
Pages:   337
Publication Date:   31 January 2019
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

Table of Contents

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

Reviews

This book offers a comprehensive treatment of HUI mining. Researchers will find it invaluable not only for understanding the state of the art, but also for gaining new insights into additional research opportunities. ... Academics, graduate students, and practitioners interested in HUI mining applications will find this book to be a great resource and can experiment with the algorithms using the SPMF open-source data mining software ... . (Raghvinder Sangwan, Computing Reviews, June 24, 2021)


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