A novel regression mining algorithm based on multi-dimensional data

被引：0

作者：

Tang, Zhihang ^{[1
,2
]}

Li, Rongjun ^{[1
]}

机构：

[1] College of Business Administer, South China University of Technology, Guangzhou 510640, China

[2] School of Computer and Communication, Hunan Institute of Engineering, Xiangtan 411104, China

来源：

Journal of Computational Information Systems | 2010年 / 6卷 / 05期

关键词：

Computational efficiency - Data handling - Data mining;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

Data cube computation attracts more and more attentions of researchers, however, this method can't find the interest information efficiently. An algorithm of mining all the exceptional cells in data cube is proposed, We adapt the viewpoint of interest layer, mine the exceptions on interest layer only. Only a threshold of exception is needed as input to find the exceptions in each data cell. The result shows the method is accuracy and validity. Copyright © 2010 Binary Information Press May, 2010.

引用

页码：1459 / 1465

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