Concepedia

Concept

association rule learning

Parents

538

Publications

26.6K

Citations

1.4K

Authors

589

Institutions

About

Association rule learning is a data mining technique focused on discovering interesting relationships, or association rules, among items within large datasets. It systematically identifies patterns of co-occurrence, typically expressed as 'if-then' statements, and quantifies their significance using metrics such as support and confidence to extract valuable insights from transactional or relational data.

Top Authors

Rankings shown are based on concept H-Index.

KH

Waseda University

JH

University of Illinois Urbana-Champaign

PF

Harbin Institute of Technology

SM

Waseda University

SV

University of Córdoba

Top Institutions

Rankings shown are based on concept H-Index.

Waseda University

Tokyo, Japan

National University of Kaohsiung

Kaohsiung City, Taiwan