Relevance of Data Mining Techniques in Edification Sector
The various data mining techniques like classification, clustering and relationship mining can be applied on educational data to study the behavior and performance of the students. This study will enable the learner and teaching community to grow. These techniques can also be combined with specific...
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Veröffentlicht in: | International journal of machine learning and computing 2013-02, Vol.3 (1), p.4-6 |
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Hauptverfasser: | , |
Format: | Artikel |
Sprache: | eng |
Online-Zugang: | Volltext |
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Zusammenfassung: | The various data mining techniques like classification, clustering and relationship mining can be applied on educational data to study the behavior and performance of the students. This study will enable the learner and teaching community to grow. These techniques can also be combined with specific discovery models and distillation of data for human judgment to enhance the learning community. This paper explores the various approaches and techniques of data mining which can be applied on Educational data to build up a new environment so as to give the new predictions on the data. |
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ISSN: | 2010-3700 2010-3700 |
DOI: | 10.7763/IJMLC.2013.V3.260 |