A General Data Mining Methodology Based on a Weighted Hierarchical Adaptive Voting Ensemble (WHAVE) Machine Learning Method KU Leuven
©2017 Old City Publishing, Inc. This paper presents a general data mining methodology based on a novel Weighted Hierarchical Adaptive Voting Ensemble (WHAVE) machine learning (ML) method. It was constructed using three individual ML methods based on Multiple-Valued Logic: Disjunctive Normal Form (DNF) rule based method, Decision Trees, Naïve Bayes, and one method based on continuous representation: Support Vector Machines (SVM). The WHAVE method ...