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

fYear

2009

fDate

26-28 Feb. 2009

Firstpage

61

Lastpage

64

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/CONIELECOMP.2009.33

Filename

5163890