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A Comprehensive Review of Classification Techniques in Data Mining


Affiliations
1 Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode, India
     

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Data mining is the practice of extracting the useful information from the frequently occurring patterns in the observational datasets available. In data mining, classification is the process of bringing out the models called classifiers to predict the class labels. This paper gives a comprehensive review of the classification techniques in data mining such as Support Vector Machine (SVM), Decision tree and Linear Regression.

Keywords

Classification, Datasets, Decision Tree, Linear Regression, SVM.
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  • A Comprehensive Review of Classification Techniques in Data Mining

Abstract Views: 469  |  PDF Views: 2

Authors

M. Priyanka
Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode, India
N. Subha
Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode, India
B. Gomathy
Department of Computer Science and Engineering, Bannari Amman Institute of Technology, Sathyamangalam, Erode, India

Abstract


Data mining is the practice of extracting the useful information from the frequently occurring patterns in the observational datasets available. In data mining, classification is the process of bringing out the models called classifiers to predict the class labels. This paper gives a comprehensive review of the classification techniques in data mining such as Support Vector Machine (SVM), Decision tree and Linear Regression.

Keywords


Classification, Datasets, Decision Tree, Linear Regression, SVM.