Artificial Intelligence
Open Access
International Journal of Applied Data Science (IJADS) is an international, peer-reviewed, open-access scholarly journal dedicated to the advancement of research, innovation, and practical applications in the field of data science. The journal serves as a global platform for researchers, academicians, data analysts, industry professionals, and practitioners to publish high-quality original research and share emerging developments that contribute to the growth of data-driven technologies and decision-making processes.
IJADS aims to promote the dissemination of scientific knowledge and technological advancements that leverage data-driven methodologies to solve complex problems across diverse domains. The journal encourages interdisciplinary research that integrates statistical analysis, computational methods, machine learning techniques, data mining, predictive analytics, artificial intelligence, and intelligent information systems. By fostering collaboration between academia and industry, IJADS seeks to bridge the gap between theoretical foundations and real-world applications.
The journal publishes original research articles, review papers, case studies, technical reports, short communications, and survey articles that demonstrate significant contributions to the field. Areas of interest include, but are not limited to, big data analytics, statistical modeling, deep learning, business intelligence, data visualization, cloud-based analytics, computational intelligence, knowledge discovery, decision support systems, and emerging trends in data science.
IJADS welcomes contributions that address contemporary challenges and opportunities in sectors such as healthcare, finance, engineering, education, agriculture, transportation, environmental science, cybersecurity, social sciences, and digital transformation. The journal particularly encourages studies that showcase innovative approaches for extracting meaningful insights from large and complex datasets to support informed decision-making and organizational effectiveness.
As an open-access journal, IJADS ensures that all published articles are freely and permanently accessible to readers worldwide without subscription barriers. This policy enhances the visibility, accessibility, and impact of research, enabling the broader scientific community to benefit from the latest developments in applied data science and related disciplines.
IJADS is committed to publishing impactful research that advances scientific understanding, promotes innovation, and supports the effective use of data-driven technologies for societal and industrial development.
