期刊名称：International Journal of Computer Trends and Technology
电子版ISSN：2231-2803
出版年度：2018
卷号：59
期号：2
页码：73-80
DOI：10.14445/22312803/IJCTT-V59P112
出版社：Seventh Sense Research Group
摘要：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.
Loading...
