Using data mining techniques for building fusion models

被引:3
作者
Zhang, ZF [1 ]
Salerno, J [1 ]
Regan, M [1 ]
Cutler, D [1 ]
机构
[1] SUNY Binghamton, Watson Sch Engn & Appl Sci, Dept Comp Sci, Binghamton, NY 13902 USA
来源
DATA MINING AND KNOWLEDGE DISCOVERY: TOOLS AND TECHNOLOGY V | 2003年 / 5098卷
关键词
data mining; clustering; EM algorithm; graphs;
D O I
10.1117/12.487024
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Over the past decade many techniques have been. developed which attempt to predict possible events through the use of given models or patterns of activity. These techniques work quite well given the case that one has a model or a valid representation of activity. However, in reality for the majority of the time this is not the case. Models that do exist, in many cases were hand crafted, required many man-hours to develop and they are very brittle in the dynamic world in which we live. Data mining techniques have shown some promise in providing a set of solutions. In this paper we will provide the details for our motivation, theory and techniques which we have developed, as well as the results of a set of experiments.
引用
收藏
页码:174 / 184
页数:11
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