The International Journal of Data Science and Applications (IJDSA) is an international scientific journal that focuses on publishing the latest research, innovations, and applications in the field of data science. The journal provides a global platform for researchers, academics, and practitioners to share new findings, analytical method developments, and innovative solutions that harness the power of data in various sectors.

Focus and Scope:

IJDSA covers a wide array of topics in the field of data science and its applications, including but not limited to:

  1. Data Science Methodologies and Algorithms:
    • Machine Learning and Deep Learning
    • Data Mining and Big Data Analytics
    • Natural Language Processing (NLP)
    • Optimisation Algorithms and Statistical Models
  2. Data Infrastructure and Technology:
    • Distributed Data Systems and Cloud Computing
    • Edge Computing and IoT Technologies for Data Science
    • Database Management and Storage Technologies
    • Blockchain for Data Analytics
  3. Real-World Applications of Data Science:
    • Recommendation and Prediction Systems
    • Data Analytics for Finance, Healthcare, and Education
    • Data Science for Environmental and Geospatial Modelling
    • Social Media Analytics and Complex Networks
  4. Ethics and Policy in Data Science:
    • Data Privacy and Information Security
    • Ethical Implications of AI Analytics
    • Influence of Data Science on Public Policy
    • Sustainability in Big Data Processing

Journal Objectives:

IJDSA aims to promote scientific and technological advances in data science, while encouraging the use of data as a tool for strategic decision-making that has a positive impact on society.