Impact Factor:6.549
 Scopus Suggested Journal: UNDER REVIEW for TITLE INCLUSSION

International Journal
of Computer Engineering in Research Trends (IJCERT)

Scholarly, Peer-Reviewed, Open Access and Multidisciplinary

Welcome to IJCERT

International Journal of Computer Engineering in Research Trends. Scholarly, Peer-Reviewed,Open Access and Multidisciplinary

ISSN(Online):2349-7084                 Submit Paper    Check Paper Status    Conference Proposal

Back to Current Issues

Comparative Performance Analysis of Different Data Mining Techniques and Tools Using in Diabetic Disease

Sarangam Kodati, Dr. R P. Singh, , ,
Department of Computer Science and Engineering, Sri Satya Sai University of Technology and Medical Science, Sehore, Bhopal, Madhya Pradesh, India
:10.22362/ijcert/2017/v4/i12/xxxx [UNDER PROCESS]

Data mining means to the process of collecting, searching through, and analyzing a significant amount of data in a database. The most essential and popular data mining methods are classification, association, clustering, prediction or sequential patterns. In health concern businesses, data mining plays a vital role in the early prediction of diseases toughness. This paper explores the early prediction diabetic diabetes using various data mining methods and data mining tools. The dataset has taken 768 instances from PIMA Indian Dataset by determining the accuracy of the data mining techniques in prediction. The analysis proves that Modified J48 Classifier provides the highest comparative durability accuracy than other techniques.

Sarangam Kodati,Dr. R P. Singh(2017). Comparative Performance Analysis of Different Data Mining Techniques and Tools Using in Diabetic Disease. International Journal of Computer Engineering In Research Trends, 4(12), 556-561. Retrieved from

Keywords : Data mining Techniques, Data mining Tools, Diabetic disease, Performance Accuracy

1. Han, j. And M. Kamber, Data Mining Concepts, and Techniques. 2006: Morgan Kaufmann Publishers. 2. Lee, I.-N., S.-C. Liao, and M. Embrechts, Data mining techniques applied to medical information. Med. inform, 2000.

2. Obenshain, M.K., Application of Data Mining Techniques to Healthcare Data. Infection Control and Hospital Epidemiology, 2004.

3. Sandhya, J., et al., Classification of Neurodegenerative Disorders Based on Major Risk Factors Employing Machine Learning Techniques. International Journal of Engineering and Technology, 2010. Vol.2, No.4.

4. Gaganjot Kaur, Amit Chhabra, “Improved J48 Classification Algorithm for the prediction of Diabetes”, International Journal of Computer Applications(0975-8887) vol.98 No.22, July 2014. 

5 P. Radha, Dr. B. Srinivasan, “ Predicting Diabetes by consequencing the various Data mining Classification Techniques”, International Journal of Innovative Science, Engineering & Technology, vol. 1 Issue 6, August 2014, pp. 334-339 

6. Mohtaram Mohammadi, Mitra Hosseini, Hamid Tabatabaee, “Using Bayesian Network for the prediction and Diagnosis of Diabetes” , MAGNT Research Report, vol.2(5), pp.892-902. 

7. Sudesh Rao, V. Arun Kumar, “Applying Data mining Technique to predict the diabetes of our future generations”, ISRASE eXplore digital library, 2014. 

8. Veena vijayan, Aswathy Ravikumar, “ Study of Data mining algorithms for prediction and diagnosis of Diabetes Mellitus”, International Journal of Computer Applications (0975-8887) vol. 95-No.17, June 2014 
9. Arwa Al-Rofiyee, Maram Al-Nowiser, Nasebih Al-Mufad, Dr. Mohammed Abdullah AL-Hagery, “Using Prediction Methods in Data mining for Diabetes Diagnosis'

10. K.R Lakshmi, S.Premkumar, “ Utilization of Data mining Techniques for prediction of Diabetes Disease survivability”, International Journal of Scientific & Engineering Research, vol.4 Issue 6, June 2013. 

11. Murat Koklu and Yauz Unal, “ Analysis of a International population of Diabetic patients Databases with Classifiers”, International Journal of Medical,Health,Pharmaceutical and Biomedical Engineering”, vol.7 No.8, 2013. 

12. Rupa Bagdi, Prof. Pramod Patil,” Diagnosis of Diabetes Using OLAP and Data Mining Integration”, International Journal of Computer Science & Communication Networks,Vol 2(3), pp. 314-322. 

13. Ashwinkumar.U.M and Dr. Anandakumar K.R, “Predicting Early Detection of cardiac and Diabetes symptoms using Data mining techniques”, International conference on computer Design and Engineering, vol.49, 2012. 

14. S. Sapna, Dr. A. Tamilarasi and M. Pravin Kumar, “Implementation of Genetic Algorithm in predicting Diabetes”, International Journal of computer science, vol.9 Issue 1, No.3, January 2012. 

15. Manaswini pradhan, Dr. Ranjit kumar sahu, “ predict the onset of diabetes disease using Artificial Neural Network”, “ International Journal of Computer Science & Emerging Technologies, vol.2 Issue 2, April 2011. 

16. Muhammad Waqar Aslam and Asoke Kumar Nandi, “Detection of Diabetes using Genetic Programming”, European Signal Processing Conference (EUSIPCO-2010), ISSN 2076-1465. 

17. Huy Nguyen Anh Pham and Evangelos Triantaphyllou, “ Prediction of Diabetes by Employing New Data 
mining approach which balances Fitting and Generalization Springer 2008. 

DOI Link : Not yet assigned

Download :

Refbacks : Currently there are no refbacks


Authors are not required to pay any article-processing charges (APC) for their article to be published open access in Journal IJCERT. No charge is involved in any stage of the publication process, from administrating peer review to copy editing and hosting the final article on dedicated servers. This is free for all authors. 

News & Events

Latest issue :Volume 10 Issue 1 Articles In press

A plagiarism check will be implemented for all the articles using world-renowned software. Turnitin.

Digital Object Identifier will be assigned for all the articles being published in the Journal from September 2016 issue, i.e. Volume 3, Issue 9, 2016.

IJCERT is a member of the prestigious.Each of the IJCERT articles has its unique DOI reference.
DOI Prefix : 10.22362/ijcert

IJCERT is member of The Publishers International Linking Association, Inc. (“PILA”)

Emerging Sources Citation Index (in process)

IJCERT title is under evaluation by Scopus.

Key Dates

☞   LAST DATE OF SUBMISSION : 31st March 2023
In 7 Days

Important Announcements

All the authors, conference coordinators, conveners, and guest editors kindly check their articles' originality before submitting them to IJCERT. If any material is found to be duplicate submission or sent to other journals when the content is in the process with IJCERT, fabricated data, cut and paste (plagiarized), at any stage of processing of material, IJCERT is bound to take the following actions.
1. Rejection of the article.
2. The author will be blocked for future communication with IJCERT if duplicate articles are submitted.
3. A letter regarding this will be posted to the Principal/Director of the Institution where the study was conducted.
4. A List of blacklisted authors will be shared among the Chief Editors of other prestigious Journals
We have been screening articles for plagiarism with a world-renowned tool: Turnitin However, it is only rejected if found plagiarized. This more stern action is being taken because of the illegal behavior of a handful of authors who have been involved in ethical misconduct. The Screening and making a decision on such articles costs colossal time and resources for the journal. It directly delays the process of genuine materials.

Citation Index

Citations Indices All
Citations 1026
h-index 14
i10-index 20
Source: Google Scholar

Acceptance Rate (By Year)

Acceptance Rate (By Year)
Year Rate
2021 10.8%
2020 13.6%
2019 15.9%
2018 14.5%
2017 16.6%
2016 15.8%
2015 18.2%
2014 20.6%

Important Links

Conference Proposal