Subject Area

The ISCSITR - International Journal of Data Science (ISCSITR - IJDS) covers a broad range of subject areas within Data Science and related interdisciplinary domains, including but not limited to:

• Big Data Analytics

• Machine Learning and Artificial Intelligence

• Statistical Modeling and Predictive Analytics

• Data Mining and Knowledge Discovery

• Natural Language Processing and Text Analytics

• Data Visualization and Interactive Dashboards

• Data Privacy, Security, and Ethical Issues

• Cloud Computing and Distributed Data Systems

• Internet of Things (IoT) and Sensor Data Analytics

• Business Intelligence and Data-Driven Decision Making

• Biomedical and Healthcare Data Science

• Financial and Economic Data Analysis

• Recommender Systems and Personalization Techniques

• Deep Learning for Data Science Applications

• Real-Time and Stream Data Processing

• Time Series Analysis and Forecasting

• Smart Cities and Urban Data Analytics

• Educational Data Mining and Learning Analytics

• Social Network Analysis and Computational Social Science

• Data Governance, Compliance, and Policy Studies

This extensive subject coverage ensures that ISCSITR - IJDS serves as a vital resource for academic researchers, industry professionals, and practitioners contributing to the advancement of data-driven technologies and methodologies across diverse sectors.