How can J48 be adapted to handle concept drift?

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 ... For instance, for the J48 algorithm, which has 10 parameters in total, we have defined a chromosome divided in. 10 genes, each gene with a given number of ... 5 algorithms or can be called as optimized implementation of the C4.5. The output of J48 is the Decision tree. A Decision tree is similar to the tree structure ... Experimental results showed a significant improvement over the existing J-48 algorithm. Keywords. J48 Decision Tree, MATLAB, Data Mining, Diabetes,. WEKA. 1. ... Decision Stump, and J48 algorithms were used. According to these algorithms, the best classification rate has been reached with J48 algorithm. The results. algorithm "Rainbow" has no impact on J48 decision tree algorithm. After all, we concluded that there is no need for removing stop words, because according ... ... algorithm for tackling misclassification errors. The motivation ... We employ decision tree classification algorithms from Weka software such as J48, J48 ... 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 ... Research productivity is seen as a shared issue present in most academic institutions, as research output requires skills, time and patience. Implementation of the vehicle classification based-on decision tree algorithm ... It uses the J48 classification algorithm implemented in Weka, a machine learning ...