AN ENHANCED OPTIMIZATION APPROACH FOR IMPROVING CLASSIFICATION ACCURACY IN DATA MINING

被引：0
|
作者：
Krubakaran, Chidambaranathan [1 ]
Venkatachalapathy, Kaliyappan [2 ]
机构：
[1] Annamalai Univ, Dept Comp Sci Engn, Chidambaram 608002, Tamil Nadu, India
[2] Annamalai Univ, Fac Sci, Dept Comp & Informat Sci, Chidambaram 608002, Tamil Nadu, India
来源：
IIOAB JOURNAL | 2020年 / 11卷 / 02期
关键词：
Data mining; EJAYA; Classification accuracy; Reliability;
D O I：
暂无
中图分类号：
Q5 [生物化学]; Q7 [分子生物学];
学科分类号：
071010 ; 081704 ;
摘要：
This work presents an enhanced version of JAYA minimization algorithm to solve the issues in data mining classification approached with different objective functions that reflect in accuracy, reliability, cost, and efficiency improvement. The proposed enhanced JAYA algorithm was obtained by modifying the equations that is used in obtaining the best and worst solutions. Formulation of issues with respect to reliability and efficiency is highlighted in this paper to convert the multi-level objective into mono level objective function. To prove the advantages of proposed EJAYA algorithm two different test sets are used and results are obtained for different scenarios. Conventional genetic algorithm is compared with the obtained results to show the superiority of the proposed EJAYA algorithm with different complexities.
引用
收藏
页码：78 / 84
页数：7
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