About Us

The International Journal of Intelligent Data and Machine Learning (IJIDML-3087-4262) is a peer-reviewed, open access international journal dedicated to publishing cutting-edge research in the fields of data science, artificial intelligence, and machine learning. The journal follows a rigorous double-blinded peer review process to ensure the publication of high-quality, original, and impactful scientific contributions.

IJIDML serves as a dynamic platform for researchers, data scientists, and practitioners to share novel theories, algorithms, models, and real-world applications that leverage intelligent data processing and machine learning technologies. The journal fosters interdisciplinary collaboration and innovation across academic, industrial, and governmental sectors.

All published content is freely available under our open access policy, enabling global dissemination and accessibility. IJIDML strictly adheres to the ethical standards set forth by the Committee on Publication Ethics (COPE), ensuring transparency, academic integrity, and responsible research practices.

With a strong international editorial board and a commitment to excellence, IJIDML aims to advance the frontiers of intelligent systems and empower future breakthroughs in data-driven decision-making and learning technologies.