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 13 条

[1] A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data [J].

Apiletti, Daniele ;

Baralis, Elena ;

Cerquitelli, Tania ;

Garza, Paolo ;

Pulvirenti, Fabio ;

Michiardi, Pietro .

BIG DATA RESEARCH, 2017, 10 :53-69

[2] Different medical data mining approaches based prediction of ischemic stroke [J].

Arslan, Ahmet Kadir ;

Colak, Cemil ;

Sarihan, Mehmet Ediz .

COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE, 2016, 130 :87-92

[3]

dos Santos BS, 2019, COMPUT IND ENG, V138, P106

[4] Rule extraction for tram faults via data mining for safe transportation [J].

Gurbuz, Feyza ;

Turna, Fatma .

TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2018, 116 :568-579

[5] FIFS: A data mining method for informative marker selection in high dimensional population genomic data [J].

Kavakiotis, Ioannis ;

Samaras, Patroklos ;

Triantafyllidis, Alexandros ;

Vlahavas, Ioannis .

COMPUTERS IN BIOLOGY AND MEDICINE, 2017, 90 :146-154

[6] Machine Learning and Data Mining Methods in Diabetes Research [J].

Kavakiotis, Ioannis ;

Tsave, Olga ;

Salifoglou, Athanasios ;

Maglaveras, Nicos ;

Vlahavas, Ioannis ;

Chouvarda, Ioanna .

COMPUTATIONAL AND STRUCTURAL BIOTECHNOLOGY JOURNAL, 2017, 15 :104-116

[7]

Lee G, 2018, FUTURE GENER COMP SY, V68, P89

[8] A cloud-based energy data mining information agent system based on big data analysis technology [J].

Lin, Hsueh-Yuan ;

Yang, Sheng-Yuan .

MICROELECTRONICS RELIABILITY, 2019, 97 :66-78

[9] High utility pattern mining over data streams with sliding window technique [J].

Ryang, Heungmo ;

Yun, Unil .

EXPERT SYSTEMS WITH APPLICATIONS, 2016, 57 :214-231

[10] Data mining methodology employing artificial intelligence and a probabilistic approach for energy-efficient structural health monitoring with noisy and delayed signals [J].

Salehi, Hadi ;

Das, Saptarshi ;

Biswas, Subir ;

Burgueno, Rigoberto .

EXPERT SYSTEMS WITH APPLICATIONS, 2019, 135 :259-272

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