A Survey of Some Classic Data Mining Techniques and Applications

被引：0

作者：

Qiang, Xinjian ^{[1
]}

Xiao, Hong ^{[1
]}

Li, Zhen ^{[1
]}

机构：

[1] Xian Shiyou Univ, Sch Comp Sci, Xian, Shaanxi, Peoples R China

来源：

2011 INTERNATIONAL CONFERENCE ON COMPUTER, ELECTRICAL, AND SYSTEMS SCIENCES, AND ENGINEERING (CESSE 2011) | 2011年

关键词：

Data mining; Artificial neural network; Support vector machines; Association rule mining; Image mining; Application;

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：

Data mining is an integration of multiple technologies. Data mining has many applications in a number of areas including marketing and sales, Web and E-commerce, medicine, law, and manufacturing and, more recently, in national and cyber security. In this paper, data mining is firstly introduced. Some classic data mining techniques utilized in the development are then introduced, such as the Markov model, SVMs, ANNs, ARM, the problem of classification, and image classification, which is an aspect of image mining. Thirdly, some critical data mining applications, such as data mining for cyber security applications, Web and multimedia, are outlined. Finally, some conclusions are given at the end of the paper.

引用

页码：174 / 177

页数：4

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