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Applying of Data Mining and Statistical Techniques to Analyze the Impact of Socioeconomic Background on University Admission - A Case Study Using the Iranian Educational Data

Mirashrafi, Seyed Bagher

Abstract (englisch):
The goal of this thesis was to conduct a focused and in-depth comprehensive study of the impact of socioeconomic status of the Iranian Wide Entrance Examination applicants’ family on the educational achievement of their children. To reach this goal we used various statistical methods and data mining techniques. The data over five years made it possible to construct classification and forecasting models for each year, separately. To the best of our knowledge, when dealing with the Iranian educational data, there is no comprehensive study that takes into account dynamic aspects.

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Volltext §
DOI: 10.5445/IR/1000057844
Seitenaufrufe: 24
seit 10.07.2018
Downloads: 110
seit 12.08.2016
Zugehörige Institution(en) am KIT Institut für Volkswirtschaftslehre (ECON)
Publikationstyp Hochschulschrift
Jahr 2016
Sprache Englisch
Identifikator urn:nbn:de:swb:90-578441
KITopen-ID: 1000057844
Verlag KIT, Karlsruhe
Umfang XX, 158 S.
Abschlussart Dissertation
Fakultät Fakultät für Wirtschaftswissenschaften (WIWI)
Institut Institut für Volkswirtschaftslehre (ECON)
Prüfungsdaten 20.07.2016
Referent/Betreuer Prof. G. Nakhaeizadeh
Schlagworte Educational Data, Data Mining, University Admission, Socioeconomic Status, Family Background
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