International Journal of Data Mining Techniques and Applications (IJDMTA)
Journal Descriptions
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.
International Journal of Data Mining Techniques and Applications (IJDMTA) is :-
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International, Peer-Reviewed, Open Access, Refereed, Data Mining, Algorithms, Data pre-processing , Online , Bi-Annual Journal
- UGC Approved, ISSN Approved: P-ISSN E-ISSN: 2278-2419, Established: 2012, Impact Factor: 4.893
- Provides Crossref DOI
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Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE
