Partial rule match for filtering rules in associative classification
In this study, we propose a new method to enhance the accuracy of Modified Multi-class Classification based on Association Rule (MMCAR) classifier.We introduce a Partial Rule Match Filtering (PRMF) method that allows a minimal match of the items in the rule's body in order for the rule to be ad...
Main Authors: | Refai, Mohamed Hayel, Yusof, Yuhanis |
---|---|
Format: | Article |
Language: | English |
Published: |
Science Publications
2014
|
Subjects: | |
Online Access: | https://repo.uum.edu.my/id/eprint/18768/1/JCS%20%2010%20%204%202014%20570-577.pdf |
Similar Items
-
Text classification using modified multi class association rule
by: Kamaruddin, Siti Sakira, et al.
Published: (2016) -
Irrelevant feature and rule removal for structural associative classification
by: Mohd Shaharanee, Izwan Nizal, et al.
Published: (2015) -
Improving the accuracy of collaborative filtering recommendations using clustering and association rules mining on implicit data
by: Najafabadi, M. K., et al.
Published: (2017) -
Filter-Based Gene Selection Method for Tissues Classification on Large Scale Gene Expression Data
by: Kabir Ahmad, Farzana, et al.
Published: (2018) -
Ant colony optimization algorithm for rule based classification: Issues and potential
by: Al-Behadili, Hayder Naser Khraibet, et al.
Published: (2018)