Title :
Improve Decision Support Using Adaptive Data Mining
Author :
Ochoa-Zezzatti, Alberto ; Montes, Fernando ; Sánchez, Jöns ; Castañeda, Héctor ; González, Saúl ; Ponce, Julio
Author_Institution :
Inst. de Ing. y Tecnol., UACJ, Mexico
Abstract :
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 ldquoZKrdquo and requires a mobile device with Internet connection capability and a Web browser that support this kind of applications like: ldquoOpera mobilerdquo or ldquoSafari mobilerdquo.
Keywords :
Internet; data analysis; data mining; decision trees; mobile computing; online front-ends; Rich Internet application; Web browser; adaptive data mining; data analysis; date analysis; decision tree; mobile device; Classification tree analysis; Data analysis; Data mining; Data visualization; Decision trees; Humans; Internet; Production; Testing; User interfaces; Classification; Decision Tree; RIA; ZK Framework; ZUML;
Conference_Titel :
Electrical, Communications, and Computers, 2009. CONIELECOMP 2009. International Conference on
Conference_Location :
Cholula, Puebla
Print_ISBN :
978-0-7695-3587-6
Electronic_ISBN :
978-0-7695-3587-6
DOI :
10.1109/CONIELECOMP.2009.33
