Scope of the IJDMTA
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.
The scope of the Journal of Data Mining Techniques and Applications (IJDMA) includes, but is not limited to, the following topics:
- Data mining techniques, such as association rule mining, clustering, classification, and feature selection.
- Algorithms and methodologies for data mining, such as decision trees, neural networks, genetic algorithms, and support vector machines.
- Applications of data mining in various domains, such as finance, healthcare, marketing, and more.
- Big data analytics and related topics like distributed data mining, stream mining, cloud computing and data mining, Graph mining, and deep learning.
- Data pre-processing and data preparation techniques for data mining.
- Data visualization and data mining, including interactive data mining and the use of visualization techniques to aid in the exploration and interpretation of data mining results.
- Data pre-processing and data preparation techniques for data mining.
- Data mining with uncertain and incomplete data, including fuzzy data mining and rough set data mining.
- 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.
Objectives of IJDMTA
The objectives of the International Journal of Data Mining Techniques and Applications (IJDMTA) are
- Providing a platform for researchers, practitioners, and academics to share their latest findings and ideas in the field of data mining.
- Promoting the development of new and innovative data mining techniques and applications.
- Facilitating the exchange of information and ideas among researchers, practitioners, and academics working in the field of data mining.
- Encouraging interdisciplinary research and collaboration in data mining.
- Publishing high-quality, original research articles, review articles, and case studies that contribute to the advancement of knowledge in the field of data mining.
- Providing a forum for the discussion of current trends, challenges, and future directions in data mining research.
- Disseminating the latest research findings to a wide audience of researchers, practitioners, and academics.
- Encouraging the application of data mining techniques and methods to solve real-world problems and to improve the efficiency and effectiveness of various industries.
- Focusing on the latest developments and applications in the field of data mining, with an international perspective.