DataXplore - Advancing Data Mining for Future Discoveries

Print ISSN: pending
Electronic ISSN: pending

DataXplore - Advancing Data Mining for Future Discoveries is dedicated to being a leading platform where researchers and practitioners can actively contribute, collaborate, and innovate in the dynamic field of data mining. Our primary goal is to publish high-quality research papers, review articles, and case studies that explore cutting-edge approaches and novel applications across various domains. As an integral part of the data mining community, we foster interdisciplinary research among experts in data mining, statistics, machine learning, artificial intelligence, and related fields. Our journal aims to promote the dissemination of knowledge and best practices, encouraging the widespread adoption of advanced data mining techniques in research, industry, and society. Moreover, we are committed to addressing the challenges and ethical considerations that arise in data mining, ensuring a responsible and transparent use of data for making significant discoveries that will shape the future positively.
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Chief Editor

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Abstracting and Indexing

The journal is relatively new and will thus take some time before being indexed in important databases such as Web of Science, Scopus, etc. Nevertheless, in the near future, published articles will appear in a wide range of abstracting and indexing databases that are covered by numerous other services that aid discovery and access. Click here to find out more about where and how the content of this journal is available.