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Vol. 5  No. 3 (2019) · Articles

A Review on Class Association Rule Mining

Ms. Ayushi Biyawala
Dept. of Computer Engineering and Information Technology,Uka tarsadiya university , IN

Mr. Mihir Patel
Dept. of Computer Engineering and Information Technology,Uka tarsadiya university , IN

Ms. Himani Parekh
Dept. of Computer Engineering and Information Technology,Uka tarsadiya university , IN

📅 Published: March 2019

Keywords: Association classification, Classification, Prediction, Weighted approach, Harmonic Mean (HM) measure

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Abstract

In a real world huge amounts of data are collected daily. Extracting useful and interesting knowledge from those data is called data mining. There are several techniques for extracting knowledge like clustering, classification, association mining, outlier detection etc. Association Classification (AC) is an important study, which supporting classification and prediction. There are some well-known AC algorithm: CBA, CMAR, MCAR, FACA, ECBA and WCBA. The AC techniques uses the association rules in the classification process to enhance hidden pattern for better accuracy of the classification process.

How to Cite

Ms. Ayushi Biyawala, Mr. Mihir Patel, Ms. Himani Parekh, “A Review on Class Association Rule Mining,” International Journal of Technical Innovation in Modern Engineering & Science, vol. 5, no. 3, pp. 1198-1201, March 2019.

References

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