Improve Decision Support using Adaptive Data Mining

被引：0
|
作者：
Ochoa-Zezzatti, Alberto
Montes, Fernando
Sanchez, Joens
Castaneda, Hector
Gonzalez, Saul
Ponce, Julio
机构：
来源：
2009 INTERNATIONAL CONFERENCE ON ELECTRICAL COMMUNICATIONS AND COMPUTERS | 2009年
关键词：
Decision Tree; RIA; ZK Framework; ZUML; Classification;
D O I：
10.1109/CONIELECOMP.2009.33
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
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".
引用
收藏
页码：61 / 64
页数：4
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