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 | , , . 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. |
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.
We follow stringent publication ethics, and plagiarized papers are not published, and are withdrawn at any stage of the publishing process.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 StatementThe 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
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