How can user feedback be incorporated to improve and refine J48-based models over time?

Thus, it is modified as. Kendall's New Rank Correlation Coefficient J48 algorithm (KNJ48) for better performance. Key words - Data mining, Classification, ... Feb 28, 2023 ... ... decision tree was made using the J48 algorithm. The decision tree simplifying and speed up the decision-making process for recommended ... Aug 29, 2022 ... While the Naïve Bayes Classifier has a lower level of accuracy, the prediction results tend to be better than the Decision Tree J48. The ... Jul 27, 2022 ... It involves systematic analysis of large data sets. The classification is used to manage data, sometimes tree modelling of data helps to make ... Apr 1, 2018 ... Hence, this paper works only the decision tree classification algorithms due to their hierarchal nature, diversity, and simplicity, these are ... A simple, intuitive method to generate a decision trees from a given data-set. The algorithm automatically selects attributes with higher discriminative power. Jul 15, 2018 ... Information Gain &. Fuzzy Rule Induction. Classifier (Combined. Algorithm). FURIA, JRip and J48 has recorded similar accuracy rate at 99% and ... ... decision tree. For this purpose, the cost-sensitive J48 algorithm was used to develop the decision tree model. Results: Utilizing all the key features of ... Experimental results showed a significant improvement over the existing J-48 algorithm. Keywords. J48 Decision Tree, MATLAB, Data Mining, Diabetes,. WEKA. 1. This paper presents a classification on the problem of in-vehicle coupon recommendation to determine the decision of coupon acceptance.