Data Mining: Applications and Performance of Different Techniques of Classification |
Author(s): |
| Abhinav Kathuria , DCSA,Panjab University,Chandigarh |
Keywords: |
| Data Mining, SVM, Naïve Bayes, J48 and ROC |
Abstract |
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Data Mining is process to extract hidden patterns from raw dataset. In this process classification of raw information has been done on the basis of different classification approaches. In this paper dataset classification has been done for extraction of different features and class labels to raw information. Data mining using naive bayes and tree based classifier that is J48 classifier has been done. Tree based classification divides dataset intro different roots and sub roots for classification of dataset. On the basis of these classifiers different parameters have been analyzed for performance evaluation. Naïve Bayes provides better classification than tree based classifier due to utilization of weight age factor. |
Other Details |
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Paper ID: IJSRDV4I80116 Published in: Volume : 4, Issue : 8 Publication Date: 01/11/2016 Page(s): 287-291 |
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