A modular method for estimating null values in relational database systems

Sj Lee*, Xiaojun Zeng

*此作品的通信作者

研究成果: Conference contribution同行評審

1 引文 斯高帕斯(Scopus)

摘要

There are many methods trying to do the relational database estimation with a highly estimated accuracy rate by constructing a great diversity of methods. This paper presents a modular method for estimating null values in relational database systems, and which is based on a simple fuzzy learning algorithm. However, there exists a conflict between the degree of the interpretability and the accuracy of the approximation in a general fuzzy system. Thus, how to make the best compromise between the accuracy of the approximation and the degree of the interpretability in the entire system is a significant study of the subject. Due to achieve the best compromise, the proposed method does not only integrate advantages of fuzzy system and simple linear regression model, but also introduce a new criterion, differential rate, to enhance the estimated accuracy of the approximation with a highly accuracy of this achievement.

原文English
主出版物標題Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
頁面415-419
頁數5
DOIs
出版狀態Published - 1 十二月 2008
事件8th International Conference on Intelligent Systems Design and Applications, ISDA 2008 - Kaohsiung, Taiwan
持續時間: 26 十一月 200828 十一月 2008

出版系列

名字Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
2

Conference

Conference8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
國家/地區Taiwan
城市Kaohsiung
期間26/11/0828/11/08

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