Can J48 be used for anomaly detection?

... J48 classifier, as depicted in Figures 21-a and 21-b. Note that J48 (implementation of C4.5 algorithm) does not require discretization of numeric attributes ... Feb 28, 2023 ... ... decision tree was made using the J48 algorithm. The decision tree simplifying and speed up the decision-making process for recommended ... 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 ... Aug 9, 2021 ... J48 (C4.5) is the most commonly used decision tree algorithm that is an extension of Quinlan's earlier ID3 Algorithm - known to have a ... J48 landmarkers (with varying confidence factors) have better values on the ... The Decision Stump algorithm performs well only at predicting both the best ... Sep 5, 2017 ... The C4.5/J48 algorithm differs from the IDE3 as while building a decision tree, the algorithm can accept the continuous and the categorical ... The J48 algorithm is produced by a supplier selection model with 2 rule selection models to classify efficient suppliers and inefficient suppliers. The accuracy ... Data Science (ICCIDS 2018). Keywords:C4.5, J48, J48Consolidated, J48Graft, TOPSIS, Classifier Rank, ISCXIDS2012, NSL-KDD, Intrusion Detection. Class J48 · Field Summary · Fields inherited from class weka.classifiers.AbstractClassifier · Fields inherited from interface weka.core.Drawable · Constructor ... Feb 29, 2020 ... In this research J48 decision tree algorithm is used and it is improved by Boosted J48 HTM Cortical algorithm.