Indian Journal of Automation and Artificial Intelligence

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Comparison of Decision Tree and SVM Methods in Classification of Researcher's Cognitive Styles in Academic Environment


Affiliations
1 Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia-81300, Skudai, Malaysia
 

Recently, by development of internet, it is user's right to achieve the best answer based on what they demand. Also, classification is the task which is essential in data mining. Nowadays, there are many classification techniques to eliminate the classification problems such as Decision tree, SVM, Genetic Algorithm, Bayesian and others. In this paper, the researchers are classified to "Expert" and "Novice" based on cognitive style factors to have the best practicable answers. Academic environment has been chosen as a domain of this research. An important aim of this research is to classify the researchers based on Decision tree and Support Vector Machine techniques and finally according to the highest accuracy, choose the best technique to help the researchers to have the best answer based on their request in digital libraries.

Keywords

Data Mining, Classification, Cognitive Styles, Decision Tree, SVM, Academic Environment
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  • Comparison of Decision Tree and SVM Methods in Classification of Researcher's Cognitive Styles in Academic Environment

Abstract Views: 577  |  PDF Views: 419

Authors

Z. Nematzadeh Balagatabi
Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia-81300, Skudai, Malaysia
H. Nematzadeh Balagatabi
Faculty of Computer Science and Information Systems, Universiti Teknologi Malaysia-81300, Skudai, Malaysia

Abstract


Recently, by development of internet, it is user's right to achieve the best answer based on what they demand. Also, classification is the task which is essential in data mining. Nowadays, there are many classification techniques to eliminate the classification problems such as Decision tree, SVM, Genetic Algorithm, Bayesian and others. In this paper, the researchers are classified to "Expert" and "Novice" based on cognitive style factors to have the best practicable answers. Academic environment has been chosen as a domain of this research. An important aim of this research is to classify the researchers based on Decision tree and Support Vector Machine techniques and finally according to the highest accuracy, choose the best technique to help the researchers to have the best answer based on their request in digital libraries.

Keywords


Data Mining, Classification, Cognitive Styles, Decision Tree, SVM, Academic Environment

References