High-Utility Pattern Mining Theory, Algorithms and Applications /

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,...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Fournier-Viger, Philippe (Editor), Lin, Jerry Chun-Wei (Editor), Nkambou, Roger (Editor), Vo, Bay (Editor), Tseng, Vincent S. (Editor)
Format: e-Book
Language:English
Published: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edition:1st ed. 2019.
Series:Studies in Big Data, 51
Subjects:
Computational intelligence.
Artificial intelligence.
Data mining.
Computational Intelligence.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Online Access:Full-text access
Table of Contents:
  • Introduction
  • Problem Definition
  • Algorithms
  • Extensions of the Problem
  • Research Opportunities
  • Open-Source Implementations
  • Conclusion.

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