Decision tree construction from multidimensional structured data

被引：0
|
作者：
Watanuma, Tomoki [1 ]
Ozaki, Tomonobu [1 ]
Ohkawa, Takenao [1 ]
机构：
[1] Kobe Univ, Grad Sch Sci & Technol, 1-1 Rokkodai, Kobe, Hyogo 6578501, Japan
来源：
ICDM 2006: SIXTH IEEE INTERNATIONAL CONFERENCE ON DATA MINING, WORKSHOPS | 2006年
关键词：
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：
Since most structured data mining techniques specialize in mining from single structured data, it cannot handle more realistic data which consist of different and plural kinds of structured data. To cope with this problem, we propose an algorithm for constructing decision trees from multidimensional structured data by introducing the techniques for mining correlated and closed patterns with effective pruning capabilities into the traditional TDIDT approach. The results of the experiments with real world data show the effectiveness of the proposed algorithm.
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页码：237 / +
页数：2
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