What are some challenges in applying J48 to very high-dimensional data?

Java implementation of the C4.5 algorithm is known as J48, which is available in WEKA data mining tool. Gain Ratio. Where: |Dj|/|D| acts as the weight of the ... J48 landmarkers (with varying confidence factors) have better values on the ... The Decision Stump algorithm performs well only at predicting both the best ... In this sense, the performance of the proposed methodology was evaluated in a comparative way between the Random Forest and the type J48. Decision Tree. For ... ... decision tree learners (). In this work, the J48 method (an implementation of the C4.5 algorithm), the CART (Classification and ... the J48 Decision Tree algorithm and the combination of J48 with Freeling and Leffe ... the J48 Decision Tree algorithm over all eval- uation datasets are ... 5 algorithm as "a landmark decision tree program that is probably the ... J48 is an open source Java implementation of the C4.5 algorithm in the Weka ... ... algorithm for tackling misclassification errors. The motivation ... We employ decision tree classification algorithms from Weka software such as J48, J48 ... Jul 12, 2016 ... The objective of the study is to explore the potential of a J48 decision tree (JDT) in identifying water bodies using reflectance bands from Landsat 8 OLI ... [16] data can be collected by different means like by using distributed questioner also; LR, J48, and ANN. Decision Tree classification technique gave better ... This study implements and compares three machine learning algorithm Bayes Network, J48 Decision tree and OneR Algorithm for credit card fraud detection. WEKA: ...