Concepedia

Concept

frequent pattern mining

Parents

4.6K

Publications

313.3K

Citations

8.3K

Authors

2.2K

Institutions

About

Frequent pattern mining is a fundamental data mining methodology dedicated to identifying patterns, such as itemsets or sequences, that occur with a frequency exceeding a specified threshold within a dataset. This research area is significant for revealing underlying structures and associations, serving as a crucial step for subsequent knowledge discovery processes.

Top Authors

Rankings shown are based on concept H-Index.

JH

University of Illinois Urbana-Champaign

PS

University of Illinois Chicago

PF

Harbin Institute of Technology

TH

National University of Kaohsiung

JC

Western Norway University of Applied Sciences

Top Institutions

Rankings shown are based on concept H-Index.

Sejong University

Seoul, South Korea

National University of Kaohsiung

Kaohsiung City, Taiwan