ISCSITR- INTERNATIONAL JOURNAL OF DATA MINING AND DATA WAREHOUSING (ISCSITR-IJDMDW)

About the Journal

ISCSITR - International Journal of Data Mining and Data Warehousing (ISCSITR-IJDMDW) is a scholarly open-access, peer-reviewed journal supported by the International Society for Computer Science and Information Technology Research (ISCSITR). It focuses on the critical and dynamic fields of data mining and data warehousing, providing a platform for the dissemination of research findings, new methodologies, and technological advancements.

This journal covers a comprehensive range of topics including but not limited to data mining techniques, algorithms, data warehousing design and architecture, big data analytics, knowledge discovery in databases, machine learning applications in data mining, and the integration of data warehousing with business intelligence applications. It also explores the ethical considerations and challenges related to data mining and the handling of large-scale data.

ISCSITR-IJDMDW aims to serve as an essential resource for researchers, data scientists, academicians, and industry professionals by publishing high-quality, original research articles, case studies, and review papers that offer new insights, innovative methods, and practical solutions relevant to data mining and warehousing. The journal's open-access policy ensures that all published works are freely accessible worldwide, enhancing the sharing of knowledge and fostering collaboration among different disciplines, thereby advancing the fields of data mining and data warehousing significantly. This makes it an invaluable resource for anyone engaged in or interested in the latest developments in these areas.