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Journals / Havacılık ve Uzay Teknolojileri Dergisi / 2005 / Cilt: 2 - Sayı: 2

A data mining application in a student database

Şenol Zafer ERDOĞAN
MEHPARE TİMOR
Pages
53–57
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The relationship between students university entrance examination results and their success was studied using cluster analysis and k-means algorithm techniques.

📌 3 Key Takeaways

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Objective & Hypothesis:Data mining is a technology used in different disciplines to search for significant relationships among variables in large data sets.
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Key Findings & Data:In this study, we concentrated on the application of data mining in an education environment.
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Conclusion & Impact:The relationship between students university entrance examination results and their success was studied using cluster analysis and k-means algorithm techniques.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Data mining is a technology used in different disciplines to search for significant relationships among variables in large data sets. Data mining is mainly used in commercial applications. In this study, we concentrated on the application of data mining in an education environment. The relationship between students university entrance examination results and their success was studied using cluster analysis and k-means algorithm techniques.

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Cite This Article

ERDOĞAN, Ş. Z., TİMOR, M. (2005). A data mining application in a student database. Havacılık ve Uzay Teknolojileri Dergisi, Cilt: 2 - Sayı: 2, 53–57. https://ajindex.com/articles/204156

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References (1)

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