About the Journal

1. Foundations of Data Analytics: JDAI covers fundamental concepts, theories, and methodologies in data analytics, including data preprocessing, feature selection, dimensionality reduction, and data mining techniques.
2. Machine Learning and Artificial Intelligence: JDAI welcomes research on machine learning algorithms, deep learning models, neural networks, and other AI techniques applied to data analytics tasks such as classification, regression, clustering, and anomaly detection.
3. Big Data Analytics: JDAI explores the challenges and opportunities associated with analyzing large-scale and complex datasets, including distributed computing, parallel processing, scalability, and real-time analytics.
4. Predictive Analytics and Modeling: JDAI focuses on predictive modeling, forecasting, and decision-making techniques that leverage data analytics to anticipate future trends, behaviors, and events across various domains.
5. Text and Natural Language Processing: JDAI covers research on text mining, sentiment analysis, document classification, and natural language processing techniques applied to unstructured data sources such as text documents, social media posts, and web content.
6. Visual Analytics and Data Visualization: JDAI examines the design, development, and evaluation of interactive visualization tools and techniques for exploring, analyzing, and communicating insights from complex datasets.
7. Business Intelligence and Analytics Applications: JDAI includes studies on the application of data analytics and intelligence in business contexts, including marketing analytics, customer relationship management, financial analytics, supply chain optimization, and risk management.
8. Healthcare Analytics: JDAI addresses the use of data analytics and intelligence in healthcare settings, including clinical decision support systems, disease prediction, patient monitoring, and health outcome analysis.
9. Social and Behavioral Analytics: JDAI investigates the analysis of social networks, user behavior, and online interactions to understand human behavior, sentiment dynamics, and information diffusion patterns.
10. Ethical and Privacy Considerations: JDAI examines the ethical implications of data analytics and intelligence, including issues related to data privacy, fairness, transparency, accountability, and bias in algorithmic decision-making.

JDAI encourages submissions of original research articles, review papers, case studies, and practical applications that contribute to advancing the theory, methodology, and practice of data analytics and intelligence across various domains. The journal aims to promote interdisciplinary collaboration and foster a deeper understanding of the opportunities and challenges in harnessing data-driven insights for societal benefit.