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ANN and Data Mining Approaches to Select Student Category in ITS

Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 199)

Abstract

Data mining Methods have widely used to classification and categorization problems. It requires the categorization of the student on the basics of their performance. In this work an application of the data mining technique such as: Decision Tree (DT), Classification and Regression Trees (C&RT algorithm) have been used in the data set for the categorizing the student as high, medium and low. It’s important to use (ANN) because this is a method by which students are categorized through cognitive input and behavioral input. We have used a data mining method Classification and Regression Trees (C&RT) to categorize the students in different category based on their cognitive and behavioral parameter.

Keywords

Data mining ANN E-learning ITS Decision tree 

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Copyright information

© Springer-Verlag Berlin Heidelberg 2013

Authors and Affiliations

  • Aniruddha Dey
    • 1
  • R. B. Mishra
    • 2
  • Kanai Chandra Pal
    • 3
  1. 1.Department of Computer Science & EngineeringJadavpur UniversityKolkataIndia
  2. 2.Department of Computer EngineeringIIT-BHUVaranasiIndia
  3. 3.Department of Printing EngineeringJadavpur UniversityKolkataIndia

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