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

页码：78 / 84

页数：7

共 50 条

[21] On the Optimization of SVM Kernel Parameters for Improving Audio Classification Accuracy
Grama, Lacrimioara
Tuns, Liana
Rusu, Corneliu
2017 14TH INTERNATIONAL CONFERENCE ON ENGINEERING OF MODERN ELECTRIC SYSTEMS (EMES), 2017, : 224 - 227
[22] A Two-Step Data Normalization Approach for Improving Classification Accuracy in the Medical Diagnosis Domain
Izonin, Ivan
Tkachenko, Roman
Shakhovska, Nataliya
Ilchyshyn, Bohdan
Singh, Krishna Kant
MATHEMATICS, 2022, 10 (11)
[23] Improving classification accuracy using data augmentation on small data sets
Moreno-Barea, Francisco J.
Jerez, Jose M.
Franco, Leonardo
EXPERT SYSTEMS WITH APPLICATIONS, 2020, 161 (161)
[24] Improving imbalanced data classification in healthcare systems : A novel optimization approach with statistical insights
Dara, Eshwar
Unhelkar, Bhuvan
Shankar, S. Siva
Chakrabarti, Tulika
Chakrabarti, Prasun
Sivaneasan, B.
Margala, Martin
JOURNAL OF INFORMATION & OPTIMIZATION SCIENCES, 2024, 45 (08): : 2203 - 2212
[25] Classification Rule Mining Approach Based on Multiobjective Optimization
Sag, Tahir
Kahramanli, Humar
2017 INTERNATIONAL ARTIFICIAL INTELLIGENCE AND DATA PROCESSING SYMPOSIUM (IDAP), 2017,
[26] Mining Emerging Patterns of Data Stream for Improving Classification Performance
Li, Zhijie
Liao, Xuhong
Liao, Sha
Li, Yuanxiang
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2025,
[27] Data Mining Approach to Dual Response Optimization
Lee, Dong-Hee
COMPUTATIONAL SCIENCE AND ITS APPLICATIONS - ICCSA 2017, PT I, 2017, 10404 : 467 - 477
[28] Enhanced Accuracy Enabled by Particle Swarm Optimization in Classification Application
Lu, Zhiyi
2020 INTERNATIONAL CONFERENCE ON ARTIFICIAL INTELLIGENCE AND COMPUTER ENGINEERING (ICAICE 2020), 2020, : 146 - 149
[29] A New Approach for Improving Classification Accuracy in Predictive Discriminant Analysis
Iduseri A.
Osemwenkhae J.E.
Annals of Data Science, 2018, 5 (3) : 339 - 357
[30] A Two-Step Approach for Improving Sentiment Classification Accuracy
Azam, Muhammad
Ahmed, Tanvir
Ahmad, Rehan
Rehman, Ateeq Ur
Sabah, Fahad
Asif, Rao Muhammad
INTELLIGENT AUTOMATION AND SOFT COMPUTING, 2021, 30 (03): : 853 - 867

← 1 2 3 4 5 →