About the Journal

The International Transactions on Data Science (ITDS) is a leading peer-reviewed journal dedicated to advancing the field of data science through the publication of high-quality research articles, reviews, and case studies. ITDS serves as a platform for researchers, academics, practitioners, and policymakers to disseminate their latest findings, innovative methodologies, and practical applications in all areas of data science.

Aims and Scope: ITDS covers a wide range of topics related to data science, including but not limited to data mining, machine learning, big data analytics, artificial intelligence, data-driven decision making, and data privacy. The journal welcomes interdisciplinary research that explores the intersection of data science with various domains such as healthcare, finance, business, engineering, social sciences, and more.

Key Features:

• Rigorous Peer Review: All submissions undergo a thorough peer-review process by experts in the field to ensure the quality and integrity of published content.
• Interdisciplinary Focus: ITDS encourages interdisciplinary collaboration and welcomes contributions from researchers across different disciplines who utilize data science techniques in their work.
• Practical Applications: In addition to theoretical advancements, ITDS emphasizes practical applications of data science in real-world scenarios, including industry case studies and innovative use cases.
• Ethical Considerations: The journal promotes ethical conduct in data science research and encourages discussions on data privacy, fairness, transparency, and responsible AI.

Audience: ITDS caters to a diverse audience, including researchers, academics, data scientists, practitioners, industry professionals, policymakers, and students interested in data science and its applications. The journal provides a valuable resource for staying updated on the latest developments, trends, and best practices in the field.

Publication Frequency: ITDS publishes articles on a regular basis, with new issues released periodically throughout the year. The journal aims to maintain a steady flow of high-quality content to keep readers informed about the latest research advancements in data science.

Submission Guidelines: Authors interested in submitting their work to ITDS are encouraged to review the journal's submission guidelines available on the official website. Submissions should adhere to the journal's formatting requirements and ethical standards.

Editorial Team: ITDS is supported by an esteemed editorial team comprised of leading experts and scholars in the field of data science. The editorial team oversees the peer-review process, ensures the quality of published content, and provides strategic guidance to uphold the journal's mission and objectives.

Mission: The mission of ITDS is to foster innovation, collaboration, and knowledge exchange in the field of data science. By providing a platform for researchers to share their insights and discoveries, ITDS aims to advance the theory, methodologies, and applications of data science and contribute to addressing societal challenges through data-driven approaches.

Access: ITDS is available online and provides open access to its content, ensuring that research findings are accessible to a global audience without barriers. Open access promotes greater dissemination of knowledge and facilitates broader participation in the advancement of data science research.