Performance and Classification Evaluation of J48 Algorithm and Kendall’s Based J48 Algorithm (KNJ48)
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International Journal of Computer Trends and Technology (IJCTT) |  |
| © 2018 by IJCTT Journal | ||
| Volume-59 Number-2 |
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| Year of Publication : 2018 | ||
| Authors : N.SaravanaN, Dr.V.Gayathri | ||
| DOI : 10.14445/22312803/IJCTT-V59P112 |
N.SaravanaN, Dr.V.Gayathri "Performance and Classification Evaluation of J48 Algorithm and Kendall’s Based J48 Algorithm (KNJ48)". International Journal of Computer Trends and Technology (IJCTT) V59(2):73-80, May 2018. ISSN:2231-2803. www.ijcttjournal.org. Published by Seventh Sense Research Group.
Abstract
We have been using the most popular algorithm J48 for classification of data. The J48 algorithm is used to classify different applications and perform accurate results of the classification. J48 algorithm is one of the best machine learning algorithms to examine the data categorically and continuously. When it is used for instance purpose, it occupies more memory space and depletes the performance and accuracy in classifying medical data. Our proposed method is to measure the improved performance and produce higher rate of accuracy. For this research, the dengue dataset was collected from various government hospitals in Krishnagiri District. To measure the entropy of information and to identify the dataset and to increase the accuracy of J48 algorithm, the entropy of J48 is modified with Kendall’s Rank Correlation Coefficient algorithm (KNJ48) to improve the accuracy of classification and performance time. Thus, it is modified as Kendall’s New Rank Correlation Coefficient J48 algorithm (KNJ48) for better performance.
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Keywords
Data mining, Classification, Dengue, J48, Entropy, Kendall’s Correlation J48 (KNJ48), WEKA