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

Table of Contents - Volume 8, Issue 2,2019
Study of Clustering Methods in Data Mining
M.Arumaiselvam, R.Anitajesi
DOI - Crossref   |    Google Scholar  |   View Abstract  |
Study on Data Mining Techniques for Cancer Prediction System
Roseline Jecintha, Poonguzhali
DOI - Crossref   |    Google Scholar  |   View Abstract  |
Cluster Based Segmentation using K-Means Algorithm
Pragathi K, Jayanthi T., Malathi V
DOI - Crossref   |    Google Scholar  |   View Abstract  |
Branch Selection Recommendation for Higher Secondary Student using Data Mining Techniques
P. Kuppan , S. Mohanambal, N.Suresh
DOI - Crossref   |    Google Scholar  |   View Abstract  |
Detecting the Product Rating Aspects from Textual Customer Reviews Using Data Mining Techniques with LS-SVM
S. MuthuKumaran, P. Suresh, A. Victoria Anand Mary
DOI - Crossref   |    Google Scholar  |   View Abstract  |
Cyber Physical Service Attacks in Positive Security using Data Mining
Kalaimathi P., Ganga T K
DOI - Crossref   |    Google Scholar  |   View Abstract  |