About the Journal

The Journal of Intelligent Data Mining and Knowledge Systems (JIDMKS) is an international, peer-reviewed scholarly journal dedicated to advancing research and innovation in the fields of data mining, artificial intelligence, knowledge discovery, machine learning, and intelligent information systems. The journal provides a platform for researchers, academicians, data scientists, engineers, industry professionals, and research scholars to disseminate original research addressing the extraction, analysis, interpretation, management, and application of knowledge from complex and large-scale data.

JIDMKS focuses on both theoretical foundations and practical applications of intelligent data-driven technologies. It encourages the development of novel algorithms, computational models, analytical frameworks, and knowledge-based systems capable of discovering meaningful patterns and supporting intelligent decision-making.

Published half-yearly, the journal welcomes high-quality original research articles, review papers, technical contributions, case studies, and innovative applications. Through a rigorous editorial and peer-review process, JIDMKS seeks to promote research integrity, scientific quality, methodological rigor, and technological innovation in the rapidly evolving domain of intelligent data systems.

The journal also emphasizes interdisciplinary research and applications across healthcare, engineering, business, finance, education, environmental science, cybersecurity, social systems, and other knowledge-intensive domains.