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The most academic institutions in Arabic countries depend on the centralized or decentralized information systems, operating independently from each other, the decision-makers rely on these systems in generation of the periodic and routine reports, that assist them in building the right decisions and proper responses to the changes in a timely manner.
The data volume in these institutions have become enormous, after applying these systems for several years, the lack of interconnection between different systems caused difficulties to decision-makers in processing such large amounts of data and get an integrated and useful information that reflects the current situation of the institution.
This paper aims at applying data mining and business intelligence concepts in order to address academic problems, specially the problems that related to students and academic advisors in the Arabic academic institutions. Thus this paper truly contributes to the development of academic quality.
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- Using Data Mining and Business Intelligence to Develop Decision Support Systems in Arabic Higher Education Institutions
Jorge Marx Gómez
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