ADT: A decision tree algorithm based on concepts

dc.contributor.author	Franco Arcega, Anilú	en_US
dc.date.accessioned	2013-11-04T21:59:32Z
dc.date.available	2013-11-04T21:59:32Z
dc.date.issued	2006	en_US
dc.identifier.citation	Franco-Arcega A., Sánchez-Díaz G. y Ruiz-Shulcloper J. ADT: A decision tree algorithm based on concepts. International Symposium on Robotics and Automation ISRA 2006. Vol 2. pp. 35-40, ISBN: 970-769-080-1, 2006	es
dc.identifier.uri	https://repository.uaeh.edu.mx/bitstream/handle/123456789/7964
dc.description.abstract	In this paper, a new method named Alternative Decision Trees (ADT) for the generation of decision trees is introduced. This proposed method generated a decision tree based in concepts of minimum covering, obtained of concepts or properties of each class described in the data set. Starting from the limitations of others decision tree algorithms, we worked in the development of new techniques that allow us to improve those limitations. A simplification of these concepts, and a split criterion are introduced. Besides, the performance of ADT method is presented.	es
dc.language	es	en_US
dc.subject	Sistemas Distribuidos y Paralelos	es
dc.title	ADT: A decision tree algorithm based on concepts	es
dc.type	Other	en_US