Aims and Scope

Infolitika Journal of Data Science (IJDS) is a distinguished international scientific journal that showcases high-caliber original research articles and comprehensive review papers in the field of data science. The journal's core mission is to stimulate interdisciplinary research collaboration, facilitate the exchange of knowledge, and drive the advancement and application of innovative strategies within the data science domain. IJDS is unwavering in its commitment to maintaining excellence, relevance, and meaningful impact, serving as an invaluable resource for researchers, practitioners, and academics worldwide.

Topics of this journal includes, but not limited to:

• Data Mining and Analysis
• Machine Learning and Artificial Intelligence
• Big Data and Data Engineering
• Predictive Modeling and Forecasting
• Natural Language Processing
• Computer Vision
• Data Visualization and Interpretation
• Ethics and Privacy in Data Science
• Applications of Data Science
• Interdisciplinary Approaches
• Mathematical Modeling and Optimization
• Statistical Methods in Data Science
• Computational Mathematics in Data Science
• Quantitative Methods and Algorithms