Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments

Study on the use of different quality measures within a multi-objective evolutionary algorithm approach for emerging pattern mining in big data environments

Abstract Background Emerging pattern mining is a data mining task that extracts rules describing discriminative relationships amongst variables. These rules should be understandable for the experts. Comprehensibility of a rule is traditionally determined by several objectives, which can be calculate...

Full description

Bibliographic Details
Main Authors: Ángel Miguel García-Vico, Pedro González, Cristóbal José Carmona, María José del Jesus
Format: Article
Language:English
Published: BMC 2019-01-01
Series:Big Data Analytics
Subjects:
Evolutionary algorithms
Fuzzy systems
Big data
Emerging pattern mining
Online Access:http://link.springer.com/article/10.1186/s41044-018-0038-8

Similar Items

Similar Items