Starting Year: 2012
Frequency: Bi-annual Language :English
Subject: Engineering
ISSN Print: 2278-2419
ISSN Online: 0000-0000

International Journal of Data Mining Techniques and Applications (IJDMTA)

Unlocking Insights with State-of-the-Art Data Mining Methods and Applications

About the Journal

Journal Particulars
Title International Journal of Data Mining Techniques and Applications (IJDMTA)
Frequency Bi-annual
ISSN Currently applying for Online ISSN
Publisher i-manager Publications
Chief Editor
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E-mail:
Copyright i-manager Publications
Starting Year 2012
Subject Engineering
Language English
Publication Format Online
Phone No 04652-231675
Email Id jwinston@imanagerpublications.com
Mobile No 8589005850
Website www.imanagerpublications.com
Address i-manager Publications, 3/343, Hill View, Town Railway Nagar, Nagercoil - 629001, TamilNadu.

Aims and Scope

The International Journal of Data Mining Techniques and Applications (IJDMTA) is a peer-reviewed academic journal that focuses on the latest developments and applications in the field of data mining. The journal publishes original research articles, review articles, case studies, and technical notes related to data mining techniques, algorithms, methodologies, and applications in various domains such as finance, healthcare, marketing, and more. The journal aims to provide a platform for researchers, practitioners, and academics to share their latest findings and ideas in the field of data mining and to promote the development of new and innovative data mining techniques and applications.

Publication Ethics and Malpractice Statement

We follow stringent publication ethics, and plagiarized papers are not published, and are withdrawn at any stage of the publishing process. Plagiarism is not limited to the Results and Discussion sections; it can involve any part of the manuscript, including figures and tables, in which material is copied from another publication without attestation, reference, or permission.

Publication Ethics and Malpractice Statement

Review Procedure

The Journal follows a double blind peer-review process. The submitted articles / research papers are reviewed by Professors/Educators in Data Mining and Applications fields.

Click here to know more about Review procedure

For all copyright related queries contact info@imanagerpublications.com

Overall Topics Covered

  • Data Mining Technique

  • Association Rule Mining

  • Clustering

  • Classification and Feature Selection

  • Algorithms and Methodologies for Data Mining

  • Decision Trees

  • Neural Networks

  • Genetic Algorithms

  • Support Vector Machines

  • Applications of Data Mining In Various Domains

  • Big Data Analytics

  • Distributed Data Mining

  • Stream Mining

  • Data Mining

  • Graph Mining

  • Data Pre-Processing and Data Preparation Techniques for Data Mining

  • Data Visualization and Data Mining

  • Interactive Data Mining

  • Data Pre-Processing and Data Preparation Techniques for Data Mining

  • Data Mining With Uncertain and Incomplete Data

  • Evaluation and Validation of Data Mining Models and Techniques

  • Ethical and Legal Issues Related to Data Mining

  • Recent Trends and Challenges in Data Mining Research

  • Supply Chain Optimization

  • Financial Forecasting

  • Sentiment Analysis

  • Predictive Maintenance

  • Customer Segmentation

  • Market Basket Analysis

  • Healthcare Analytics