About the Journal

ISCSITR - International Journal of Data Analytics (ISCSITR-IJDA) is a prominent open-access, peer-reviewed journal published by the International Society for Computer Science and Information Technology Research (ISCSITR). Dedicated to the advancement of data science, data analytics, and related fields, the journal provides an essential platform for researchers, academicians, and industry professionals to publish high-quality research articles, reviews, and case studies.

Aim and Scope

The aim of ISCSITR-IJDA is to facilitate the dissemination of innovative research and advancements in data analytics, focusing on both foundational theories and practical applications. The journal seeks to bridge the gap between academic research and industry practices by covering a wide range of topics relevant to data analytics. This scope includes, but is not limited to, data mining, big data analytics, machine learning, artificial intelligence, predictive analytics, and data visualization. By focusing on both the theoretical and practical aspects, ISCSITR-IJDA ensures a comprehensive exploration of data analytics, emphasizing approaches that address real-world data challenges.

The journal encourages contributions that advance knowledge in the following areas:

  1. Data Mining and Knowledge Discovery – Research focusing on extracting meaningful insights and patterns from large and complex datasets.
  2. Big Data – Studies and methodologies aimed at managing, processing, and analyzing vast volumes of data, with a particular focus on scalability and computational efficiency.
  3. Machine Learning and AI in Analytics – Innovations in machine learning algorithms, AI applications in data interpretation, and advances in supervised, unsupervised, and reinforcement learning relevant to data analytics.
  4. Predictive and Prescriptive Analytics – Contributions that explore methods of making future predictions based on historical data, as well as approaches to inform decision-making.
  5. Data Visualization and Interpretation – Research on tools, techniques, and frameworks that make complex data more accessible, visually appealing, and easier to interpret for various audiences.

ISCSITR-IJDA targets a global audience, including researchers, practitioners, and students in the fields of computer science, information technology, data science, and business analytics. By maintaining rigorous peer review standards and ensuring open access, the journal aims to increase the accessibility of high-impact research findings, fostering collaboration and knowledge sharing across borders and disciplines.