Institutional Effectiveness Prediction Using Data Mining Techniques

AGRON, CAUSHI and BLERTA, ABAZI - CAUSHI and BUJAR, RAUFI and FLORIJE, ISMAILI and XHEMAL, ZENUNI (2016) Institutional Effectiveness Prediction Using Data Mining Techniques. In: Fourth International Conference on Advances in Information Processing and Communication Technology - IPCT 2016, 18-19 August 2016, Rome, Italy.

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The development of Information Technology has generated large amount of data in various areas. Organizations are deploying different analytic techniques to evaluate rich data sources in order to extract useful information within the data and utilize this in further decision making. In this paper the different approaches to IS development as well as how the investment in technology and IS contribute to increase the student headcount are investigated. Moreover, a considerable amount of work is done in classifying and building models for university classification according to the investment of the institutions in IT services and their risk management. Examinations about educational technology services with emphasis in e-learning technologies are done as well.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Educational Data mining, information extraction, decision making
Depositing User: Mr. John Steve
Date Deposited: 22 Mar 2019 11:54
Last Modified: 22 Mar 2019 11:54

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