About the Journal
The JANOLI International Journal of Data Science (JIJDS) is a peer-reviewed, open-access publication that publishes articles monthly. It provides a platform for researchers, data scientists, and industry professionals to share innovative findings and advancements in data science. As a globally recognized journal, it covers fundamental theories, cutting-edge methodologies, and real-world applications of data science across various domains. Additionally, the journal plans to publish special issues on emerging topics and challenges in data science.
Multidisciplinary Subjects:
- Predictive Analytics and Statistical Modeling
- Data Wrangling and Visualization Techniques
- Big Data Infrastructure and Cloud Platforms
- Data Ethics and Responsible AI
- Geospatial Data Analysis and Mapping
- Data-Driven Decision Making in Business and Policy
- Health Informatics and Biomedical Data Science
- Social Media Analytics and Sentiment Mining
SCOPE:
- Big Data Analytics
- Machine Learning and AI in Data Science
- Data Mining and Knowledge Discovery
- Predictive and Prescriptive Analytics
- Data Visualization and Interpretation
- Ethical and Responsible AI
- Cloud and Distributed Data Processing
- Real-world Applications of Data Science
- Data Privacy, Security, and Governance
- Interdisciplinary Applications of Data Science
- International Collaboration in Data Science