Horizontal Learning Approach to Discover Association Rules

Horizontal Learning Approach to Discover Association Rules

Association rule learning is a machine learning approach aiming to find substantial relations among attributes within one or more datasets. We address the main problem of this technology, which is the excessive computation time and the memory requirements needed for the processing of discovering the...

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Bibliographic Details
Main Authors: Arthur Yosef, Idan Roth, Eli Shnaider, Amos Baranes, Moti Schneider
Format: Article
Language:English
Published: MDPI AG 2024-02-01
Series:Computers
Subjects:
association rules
support
confidence
itemsets
performance analysis
horizontal approach
Online Access:https://www.mdpi.com/2073-431X/13/3/62

Internet

https://www.mdpi.com/2073-431X/13/3/62

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