Functional attribute relations by data Modeling and application for knowledge discovery

被引：0
|
作者：
Ciftcioglu, O [1 ]
机构：
[1] Delft Univ Technol, Fac Architecture, NL-2628 CR Delft, Netherlands
来源：
8TH WORLD MULTI-CONFERENCE ON SYSTEMICS, CYBERNETICS AND INFORMATICS, VOL IV, PROCEEDINGS: INFORMATION SYSTEMS, TECHNOLOGIES AND APPLICATIONS: I | 2004年
关键词：
knowledge discovery; machine learning; data modeling; sensitivity analysis;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Model based knowledge discovery is considered. The data model is established from a data set by learning. For the functional attribute relation determination a novel method is developed. The method consists of repeated application of the data set to the data model where one of the independent variables at the input is stepwise incremented from an initial starting attribute value while the rest of the data set and the model remains to be the same. By means of this process, the variation of each dependent variable at the output of the model is established as a function of each independent variable at the input. For the methods and techniques used, data mining is central to their developments.
引用
收藏
页码：387 / 392
页数：6
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