An ontology-supported data preprocessing technique for real-life databases

被引：0

作者：

Chu, BH

Liao, IK

Ho, CS

机构：

[1] Natl Taiwan Univ Sci & Technol, Dept Elect Engn, Taipei 106, Taiwan

[2] Natl Taiwan Univ Sci & Technol, Dept Comp Sci & Informat Engn, Taipei 106, Taiwan

[3] Chunghwa Telecom Co Ltd, Telecommun Labs, Taipei 106, Taiwan

来源：

INNOVATIONS IN APPLIED ARTIFICIAL INTELLIGENCE | 2005年 / 3533卷

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 propose an ontology-supported technique to preprocess the remark fields in real-life customer servicing databases in order to discover useful information to help re-categorize misclassified service records owing to human ignorance or bad design of problem categorization. This process restores the database into one with more meaningful data in each record, which facilitates subsequent data analysis. Our experience in applying the technique to a real-life database shows a substantial quality improvement can be obtained in mining association rules from the database.

引用

页码：521 / 523

页数：3