Focus and Scope

Journal of Data Science Theory and Application is  an open-access scientific journal  intended  to bring together researchers and practitioners dealing with the general field of computing, including but is not limited to the following topics:

• Tools and Applications in Data Science
• Theoretical in Data Science
• Big Data Analytics
• Computational Data Science
• Computational Linguistics
• Data Clustering and Classifications
• Data Mining and Data Analytics
• Data Visualization
• Information Science
• Artificial Intelligence
• Machine Learning and Knowledge Discovery
• Deep Learning
• Financial Modeling
• Decision Support System
• Architecture, Management and Process for Data Science
• Modeling and Simulation

Article published in Journal of Data Science Theory and Application is determined through the blind review process conducted by editor and reviewer of Journal of Data Science Theory and Application. This process considers several factors such as the relevance of the article and its contribution to the development of data science practices and profession as well as compliance with the requirement of a published article. Editor and reviewer provide evaluation and constructive suggestions for the author.