A Comparative Analysis of different classes-interpretation support techniques
Karina Gibert, Alejandra Pérez-Bonilla, Gustavo Rodríguez-Silva · Conference on Artificial Intelligence Research and Development · 2006
In this work, the application of some traditional statistical or AI techniques (Logistic Regression, Decision Trees and Discriminant Analysis) used to assist interpretation of a set of classes is presented together with a new methodology Conceptual characterization by embedded conditioning (CCEC)[7] based on combination of statistics and some knowledge induction. All of them are applied to a set of real data coming from a WasteWater Treatment Plant (WWTP) previously classified [8] to identify the characteristic situations that can be found in.