Transactions on Data Science with Applications

About the Journal

The Transactions on Data Science with Applications (TDSA) is an international scholarly open access, interdisciplinary, fully refereed, and quarterly free of charge journal as a non-commercial publication. The publication start year of TDSA is 2026. All submitted manuscripts are checked for similarity through a trustworthy software named iThenticate to be assured about its originality and rigorously peer-reviewed by the international reviewers (The similarity rate must be below 20%).

TDSA considers original research articles, review articles, case studies, and technical notes addressing the data science lifecycle, from data acquisition and preparation to modelling, evaluation, interpretation, visualization, and decision-making. Its scope includes “statistical learning”, “machine learning”, “artificial intelligence”, “data mining”, “big-data analytics”, “deep learning”, “predictive and prescriptive analytics”, “optimization”, “data engineering”, “databases”, “cloud and distributed computing”, “natural language processing”, “computer vision”, “explainable artificial intelligence”, and “data-driven decision support”.  Application-oriented studies may come from engineering, manufacturing, healthcare, finance, business, transportation, energy, environmental systems, the social sciences, and related fields. This journal respects the ethical rules in publishing and is subject to the rules of the Ethics Committee" for Publication (COPE) and committed to follow the executive regulations of the Law on Prevention and Combating Fraud in Scientific Works. This journal publishes fully open access journals, which means that all articles are available on the internet to all users immediately upon publication.