Coverage-Based Classification Using Association Rule Mining

Coverage-Based Classification Using Association Rule Mining

Building accurate and compact classifiers in real-world applications is one of the crucial tasks in data mining nowadays. In this paper, we propose a new method that can reduce the number of class association rules produced by classical class association rule classifiers, while maintaining an accura...

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Bibliographic Details
Main Authors: Jamolbek Mattiev, Branko Kavsek
Format: Article
Language:English
Published: MDPI AG 2020-10-01
Series:Applied Sciences
Subjects:
frequent itemset
minimum support
minimum confidence
class association rules
associative classification
overall coverage
Online Access:https://www.mdpi.com/2076-3417/10/20/7013

Internet

https://www.mdpi.com/2076-3417/10/20/7013

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