C. A. O. Zezzatti, Fernando Montes-González, Jons Sanchez, Hector Castaneda, J. S. González-Campos, Julio César Ponce Gallegos
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Improve Decision Support Using Adaptive Data Mining
Nowadays is necessary to take decisions based in the knowledge obtained through advanced techniques of date analysis, decision tree is an interesting option. In this work a Rich Internet Application to visualize a decision tree in a mobile device is presented. This application lets deploy the complete tree decision and the categorization of new registers, with this tool is possible to take decisions based in the analysis of data in an extended data base. The application is developed with the framework “ZK” and requires a mobile device with internet connection capability and a web browser that support this kind of applications like: “Opera Mobile” or “Safari Mobile”.
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