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
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International Journal of Data Mining Techniques and Applications (IJDMTA) is a peer-reviewed bi-annual journal that publishes high-quality papers on all aspects of IJDMTA. The primary objective of IJDMTA is to be an authoritative International forum for delivering both theoretical and innovative applied researches in the data mining concepts, to implementations. The IJDMTA publishes original research contributions, surveys, and experimental studies with technical advances.

Scope of the Journal

The IJDMTA is publishes research and technical papers, both short and long. We welcome authors to submit the research and technical papers in the following area

Agent-based Data Analysis and Knowledge Discovery Industrial Applications of Business Analytics and Optimization
Big Data Analysis Intelligent Multi-gent Systems
Convergence of Data Mining and Intelligent IT Applications Intrusion Detection and Access Control Techniques
CRM, e-Marketing and e-Commerce IT Applications for Agriculture Management
Data Mining Algorithms IT Software Development and Methodology
Data Mining for Biological and Environmental Problems Knowledge Management
Data Mining Techniques for IT Applications Mining Sequence Data and Time Series Data
Data Modeling and Engineering Novel Applications of Intelligent IT Techniques for Complex Systems
Data Pre-Processing, Data Transformation and Dimensionality Reduction Prediction Systems
Decision Analysis and Decision Support Systems Real-time Mining, Data Stream Mining, and Dynamic Data Mining
Distributed Data Mining and Mining Multi-agent Data Security and Forensic Applications
Feature Extraction and Feature Selection Security, Privacy and Data Integrity
Graph Mining and Semi-Structured Data Spatial and Temporal Data Mining
Healthcare Applications and Medical Diagnosis Statistical Learning Theory and Neural Network Research
High Dimensional Data and High Speed Data Streams Uncertainty Modeling in Data Mining
Unifying Theory of Data Mining Visual Mining and Data Visualization
Web Mining