Exploring Decision Rules for Election Results by Classification Trees

Decision Trees and Decision Rules

The logic-based decision trees and decision rules methodology performs well across a wide range of data mining problems. It also has the advantage that the results can be expressed in terms that the end-user can easily understand. Directory • Table of

Decision Trees for Classification: a Review and Some New Results

GENERATING FUZZY RULES FOR PROTEIN CLASSIFICATION

This paper considers the generation of some interpretable fuzzy rules for assigning an amino acid sequence into the appropriate protein superfamily. Since the main objective of this classifier is the interpretability of rules, we have used the distribution of amino acids in the sequences of proteins as features. These features are the occurrence probabilities of six exchange groups in the seque...

Classification Using Decision Trees

Data mining term is mainly used for the specific set of six activities namely Classification, Estimation, Prediction, Affinity grouping or Association rules, Clustering, Description and Visualization. The first three tasks classification, estimation and prediction are all examples of directed data mining or supervised learning. Decision Tree (DT) is one of the most popular choices for learning ...

Classification Rules by Decision Tree for Disease Prediction

This research paper mainly focuses on a data mining technique, that had an objective of creating a prediction model, using decision tree for predicting the chances of occurances of diseases in an area, particularly slum. This model also identifies different significant parameters which can be used to help for the creation of model. Decision tree is one of the learning algorithm which possess ce...