How can decision trees be adapted for detecting outliers?

Research productivity is seen as a shared issue present in most academic institutions, as research output requires skills, time and patience. Thus, it is modified as. Kendall's New Rank Correlation Coefficient J48 algorithm (KNJ48) for better performance. Key words - Data mining, Classification, ... This paper presents a classification on the problem of in-vehicle coupon recommendation to determine the decision of coupon acceptance. Feb 9, 2024 ... 1 Answer 1 · it is a numeric class attribute. – Adnan Abass. Commented Feb 10, 2024 at 8:24 · 1. That's your problem then, as J48 is a ... Feb 28, 2023 ... ... decision tree was made using the J48 algorithm. The decision tree simplifying and speed up the decision-making process for recommended ... Apr 11, 2025 ... ... J48 algorithm. AIP Conf. Proc. 11 April 2025; 3270 (1): 020102 ... Research Tools and Procedures: An study using logistic regression and a J48 ... ... Decision Stump, and J48 algorithms were used. According to these algorithms, the best classification rate has been reached with J48 algorithm. The results. A simple, intuitive method to generate a decision trees from a given data-set. The algorithm automatically selects attributes with higher discriminative power. Oct 1, 2019 ... In this paper J48 and Random Forest (RF) machine learning algorithms are used for classification of cyber threats using NetFlows. The results ... Jul 2, 2023 ... The J48 algorithm was applied to the weather.nominal.arff file in Weka to produce the decision tree shown below. Next, we apply the decision tree to the ...