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,...

Ful tanımlama

Detaylı Bibliyografya
Müşterek Yazar: SpringerLink (Online service)
Diğer Yazarlar: Fournier-Viger, Philippe (Editör), Lin, Jerry Chun-Wei (Editör), Nkambou, Roger (Editör), Vo, Bay (Editör), Tseng, Vincent S. (Editör)
Materyal Türü: e-Kitap
Dil:İngilizce
Baskı/Yayın Bilgisi: Cham : Springer International Publishing : 2019.
Imprint: Springer,
Edisyon:1st ed. 2019.
Seri Bilgileri:Studies in Big Data, 51
Konular:
Computational intelligence.
Artificial intelligence.
Data mining.
Computational Intelligence.
Artificial Intelligence.
Data Mining and Knowledge Discovery.
Online Erişim:Full-text access
İçindekiler:
  • Introduction
  • Problem Definition
  • Algorithms
  • Extensions of the Problem
  • Research Opportunities
  • Open-Source Implementations
  • Conclusion.

Benzer Materyaller