Extracting decision rules from police accident reports through decision trees.

Applying a decision support system for accident analysis by using data mining approach: A case study on one of the Iranian manufactures

Uncertain and stochastic states have been always taken into consideration in the fields of risk management and accident, like other fields of industrial engineering, and have made decision making difficult and complicated for managers in corrective action selection and control measure approach. In this research, huge data sets of the accidents of a manufacturing and industrial unit have been st...

Decision Tree Induction 17.1 Introduction 17.2 Attribute selection measure 17.3 Tree Pruning 17.4 Extracting Classification Rules from Decision Trees 17.5 Bayesian Classification 17.6 Bayes Theorem 17.7 Naïve Bayesian Classification 17.8 Bayesian Belief Networks

Converting A Trained Neural Network To a Decision Tree DecText - Decision Tree Extractor

Neural Networks are very successful in acquiring hidden knowledge in datasets. Their most important weakness is that the knowledge they acquire is represented in a form not understandable to humans. Understandability problem of Neural Networks can be solved by extracting Decision Rules or Decision Trees from the trained network. There are several Decision Rule extraction methods and Mark Craven...

Clinical Variable Relationship Evaluation using Decision Tree Rule Extraction

Evaluating associations and relationships between variable is a very challenging and important problem in the domain of medicine and clinical data analysis. Not many classification methods have been tried in the literature to tackle this problem. Decision Tree is one of the most important data mining methods that can be used, due to their property of implicitly performing variable screening or ...

Extracting Decision Trees from Interval Pattern Concept Lattices

Formal Concept Analysis (FCA) and concept lattices have shown their effectiveness for binary clustering and concept learning. Moreover, several links between FCA and unsupervised data mining tasks such as itemset mining and association rules extraction have been emphasized. Several works also studied FCA in a supervised framework, showing that popular machine learning tools such as decision tre...