Intelligent Data Analysis (IDA)

Intelligent Data Analysis (IDA) is an international, quarterly peer‑reviewed academic journal first published in 1997 that serves as a leading forum for interdisciplinary research at the intersection of artificial intelligence and data analysis. With a dual focus on both foundational theory and practical application, the journal explores computational methods that enable intelligent interpretation, transformation and extraction of knowledge from complex datasets. Topics addressed in its pages span machine learning, neural networks, evolutionary algorithms, fuzzy logic, statistical pattern recognition, big data processing, and database mining — all critical to advancing smart data‑driven systems across scientific and engineering disciplines. The journal especially values contributions that propose novel AI‑based architectures, methodologies and analytical frameworks tailored to real‑world domains such as engineering, bioinformatics, information systems, and decision support. Historically published by IOS Press BV and now hosted on the SAGE Publications platform, IDA maintains rigorous peer review and attracts submissions from global researchers, practitioners, and graduate scholars. Its quarterly publication schedule provides timely dissemination of cutting edge research that bridges theoretical advances in computational intelligence with impactful applications in data science. Over decades of scholarship, IDA has established itself as a respected outlet for driving innovation in intelligent computational analysis and data‑centric AI research.

Intelligent Data Analysis (IDA) is :-

• International, Peer-Reviewed, Open Access, Refereed, Artificial Intelligence, Computer Vision and Pattern Recognition, Theoretical Computer Science, Machine learning, neural networks, evolutionary computation, Data visualization and pre‑processing, Data engineering and database mining techniques , Online or Print , Quarterly Journal

• UGC Approved, ISSN Approved: P-ISSN P-ISSN: 1088-467X, E-ISSN: 1571‑4128, Established: 1997, Impact Factor: 0.8
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE