About the Journal

 

The International Journal of Data Science and Advanced Analytics (IJDSAA) (ISSN:
2563-4429) is an artificial intelligence (AI)-based interdisciplinary journal that was
established in 2019 by the eSystem Engineering Society (eSES), a UK-based non-
profit organisation founded in 2007 and American University Of Iraq Baghdad.
IJDSAA serves as a platform for researchers, practitioners, and academics to share
their knowledge and advancements in the field of data science and advanced
analytics. The journal's scope encompasses a wide range of topics and applications
in multidisciplinary and interdisciplinary fields related to AI and machine learning
(ML).
The key aim of IJDSAA is to contribute to the advancement of data science and
promote the practical applications of advanced ML analytics techniques across
various disciplines bringing together interdisciplinary collaborations. The journal
welcomes submissions that explore theoretical knowledge, innovative
methodologies, statistical analysis, data mining, computational intelligence,
advanced analytics, big data analytics, predictive modelling, optimisation techniques,
and data visualisation.
The scope of IJDSAA extends to interdisciplinary research, encouraging studies that
bridge the gap between data science and other fields such as business, economics,
finance, healthcare and medicine, robotics engineering, environmental, and social
sciences.
IJDSAA places emphasis on publishing original research articles, review papers,
case studies, and technical notes of high academic quality. The journal follows a
rigorous peer-review process, ensuring the validity, relevance, and quality of the
published works.
As an open-access journal, IJDSAA provides free and unrestricted access to its
published content, ensuring that the research it publishes is available to a global
audience. Thus, it is open to all disciplines promoting leading knowledge and
research exchange among scholars. For more info visit here.

Current Issue

Vol. 5 No. 05 (2023)
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