DOI:10.20894/IJDMTA.
Periodicity: Bi Annual.
Impact Factor:
SJIF:4.893 & GIF:0.787
Submission:Any Time
Publisher: IIR Groups
Language: English
Review Process:
Double Blinded

News and Updates

Author can submit their paper through online submission. Click here

Paper Submission -> Blind Peer Review Process -> Acceptance -> Publication.

On an average time is 3 to 5 days from submission to first decision of manuscripts.

Double blind review and Plagiarism report ensure the originality

IJDMTA provides online manuscript tracking system.

Every issue of Journal of IJDMTA is available online from volume 1 issue 1 to the latest published issue with month and year.

Paper Submission:
Any Time
Review process:
One to Two week
Journal Publication:
June / December

IJDMTA special issue invites the papers from the NATIONAL CONFERENCE, INTERNATIONAL CONFERENCE, SEMINAR conducted by colleges, university, etc. The Group of paper will accept with some concession and will publish in IJDMTA website. For complete procedure, contact us at admin@iirgroups.org
Paper Template
Copyright Form
Subscription Form
web counter
web counter
Published in:   Vol. 3 Issue 1 Date of Publication:   June 2014

An Ill-identified Classification to Predict Cardiac Disease Using Data Clustering

C.Kiruthika,S.Nirmala Sugirtha Rajini

Page(s):   5- 8 ISSN:   2278-2397
DOI:   10.20894/IJDMTA.102.003.001.002 Publisher:   Integrated Intelligent Research (IIR)


  1. Global status report on non communicable diseases,   "World Health Organization   ,2010
    View Artical

  2. Vanisree K, Jyothi Singaraju,   "Decision Support System for Congenital Heart Disease Diagnosis based on Signs and Symptoms using Neu",   International Journal of Computer Applications   ,Vol.19   ,Issue 6   ,2011
    View Artical

  3. Carolas Ordonez,   "Association Rule Discovery with the Train and Test Approach for Heart Disease Prediction",   IEEE Transactions on Information Technology in Bio   ,Vol.10   ,Issue 2   ,2006
    View Artical

  4. Sellappan Palaniappan and Rafiah Awang,   "Intelligent Heart Disease Prediction System Using Data Mining Techniques   ,2008
    View Artical

  5. K.Srinivas, B.KavithaRani and Dr.A. Govrdhan,   "Applications of Data Mining Techniques in Healthcare and Prediction of Heart Attacks",   K. Srinivas et al. / (IJCSE) International Journal   ,Vol.2   ,Issue 2   ,2010
    View Artical

  6. S.Vijayarani, M.Divya,   "an Efficient Algorithm for Generating Classification Rules   ,Vol.4   ,Issue 2   ,2011
    View Artical

  7. N. Deepika and K. Chandra shekar,   "Association rule for classification of Heart Attack Patients",   International Journal of Advanced Engineering Scie   ,Vol.11   ,Issue 2   ,2011
    View Artical

  8. K. Srinivas, B. Kavitha Rani and Dr. A. Govrdhan,   "Application of Data Mining Techniques in Healthcare and Prediction of Heart Attacks",   International Journal on Computer Science and Engi   ,Vol.2   ,Issue 2   ,2011
    View Artical

  9. Asha Rajkumar and B. Sophia Reena,   "Diagnosis Of Heart Disease Using Data mining Algorithm",   Global Journal of Computer Science and Technology   ,Vol.10   ,Issue 10   ,2010
    View Artical

  10. Latha Parthiban and R. Subramanian,   "Intelligent Heart Disease Prediction System using CANFIS and Genetic Algorithm",   International Journal of Biological and Life Scien   ,Vol.15   ,2007
    View Artical

  11. Mrs.G.Subbalakshmi,   "Decision Support in Heart Disease Prediction System using Naive Bayes",   Indian Journal of Computer Science and Engineering
    View Artical