An Analysis of Decision Tree Based Two-Step Clustering Using Data Mining Technique |
Author(s): |
| Ravinder Kaur , CTITR, Maksudan, Jalandhar, India ; Anshu Sharma, CTITR, Maksudan, Jalandhar, India ; Sarabjit Kaur, CTITR, Maksudan, Jalandhar, India |
Keywords: |
| Data Mining, Tuberculosis, Decision Tree, Two-Step Clustering, Back Propagation Neural Networks |
Abstract |
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The classification of data patterns and distinguishing them into predefined set of classes is known as pattern recognition. A no of various methods for recognizing patterns studied under this paper. In this paper a new technique is proposed by using back propagation neural networks. This technique is enhancement of decision tree based two-step clustering to in order to achieve more accuracy and less elapsed time. Both the techniques such as existing two-step clustering and enhanced two step clustering are implemented on several data sets and results are compared with each other in terms of accuracy and elapsed time. |
Other Details |
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Paper ID: IJSRDV4I80061 Published in: Volume : 4, Issue : 8 Publication Date: 01/11/2016 Page(s): 54-58 |
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