Data Classification Based on the Class-Rooted FP-Tree Approach

被引：0
|
作者：
Chang, Ye-In [1 ]
Wu, Chen-Chang [1 ]
Shen, Jun-Hong [1 ]
Chen, Chien-Hung [1 ]
机构：
[1] Natl Sun Yat Sen Univ, Dept Comp Sci & Engn, Kaohsiung 80424, Taiwan
来源：
CISIS: 2009 INTERNATIONAL CONFERENCE ON COMPLEX, INTELLIGENT AND SOFTWARE INTENSIVE SYSTEMS, VOLS 1 AND 2 | 2009年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper we present an efficient and accurate decision tree building method which resolves some problems and reduces the overhead of database scanning in the CAM method. We also build a structure named class-rooted FP-tree. Front our simulation, we show that the performance of the proposed class-rooted FP-tree mining method is better than the CAM methods in terms of storage usage, the times of database scanning and classification accuracy.
引用
收藏
页码：506 / 511
页数：6
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