International Journal of Data Analytics (IJDA)

The International Journal of Data Analytics (IJDA) is a scholarly journal dedicated to advancing the theory, methodology, and application of data analytics across diverse domains. IJDA aims to serve as a premier platform for researchers, academics, professionals, and practitioners to disseminate and exchange cutting-edge knowledge and insights in the field of data analytics. The primary aim of IJDA is to promote the understanding and utilization of data analytics techniques, tools, and methodologies for extracting meaningful information from large and complex datasets. The journal seeks to foster innovation and interdisciplinary collaboration, encouraging contributions from various domains such as computer science, statistics, mathematics, engineering, social sciences, healthcare, business, finance, and more. Data mining and knowledge discovery: Novel algorithms and techniques for extracting hidden patterns, structures, and relationships from large datasets. Machine learning and artificial intelligence: Applications of machine learning algorithms, deep learning, and AI models for data analysis, prediction, and decision-making. Big data analytics: Methods for processing, managing, and analyzing large-scale and high-dimensional datasets. Statistical analysis and modeling: Advanced statistical methods and models for understanding data patterns, conducting hypothesis testing, and making accurate predictions. Visual analytics and data visualization: Tools and techniques for visually representing and interpreting complex data, facilitating intuitive understanding and decision-making. Privacy, security, and ethics in data analytics: Considerations and methodologies for ensuring privacy protection, data security, and ethical data handling in the context of analytics. Applications of data analytics: Real-world case studies and applications of data analytics in domains such as healthcare, finance, marketing, social media, supply chain management, and more.

International Journal of Data Analytics (IJDA) is :-

• International, Peer-Reviewed, Open Access, Refereed, Big Data, Artificial Intelligence, Big Data Modeling, Computing, Query Processing, Biology, Bioinformatics, Biostatistics, Business Analytics/Intelligence, Data Analytics, Mining, Engineering, Data Management, Mining, Modeling, and Warehousing, Exploiting and Developing Mathematical and Statistical Analytics and Algorithms, Forensic Science, Geographic Information System, Healthcare, Medicine, and Pharmaceuticals , Online , Monthly Journal

• UGC Approved, ISSN Approved: P-ISSN E-ISSN: 6202-8020, Established: 2021, Impact Factor: 11.50
• Does Not Provide Crossref DOI

• Not indexed in Scopus, WoS, DOAJ, PubMed, UGC CARE