High-Utility Pattern Mining: Theory, Algorithms and Applications

High-Utility Pattern Mining: Theory, Algorithms and Applications Front Cover
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2019-01-19
337 pages

Book Description

This book presents an overview of techniques for discovering high-utility ( with a high importance) in data. It introduces the main types of high-utility , as well as the and core for high-utility pattern mining, and describes recent advances, applications, open-source , 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, pattern mining, metaheuristic-based approaches, privacy-preserving pattern mining, and pattern . The remaining five chapters describe key techniques and applications, such as discovering concise representations and regular patterns.

Book Details

  • Title: High-Utility Pattern Mining: Theory, Algorithms and Applications
  • Length: 337 pages
  • Edition: 1st ed. 2019
  • Language: English
  • Publisher:
  • Publication Date: 2019-01-19
  • ISBN-10: 3030049205
  • ISBN-13: 9783030049201
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