A new approach for estimating null value in relational database

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Title:	A new approach for estimating null value in relational database
Authors:	王佳文;Wang, Jia-Wen;Cheng, Ching-Hsue
Contributors:	電子商務管理學系
Keywords:	Relational database;Null value;Fuzzy correlation;Similarity
Date:	2006-01
Issue Date:	2015-10-05 17:09:16 (UTC+8)
Abstract:	In general, a database system will not operate properly if it exist some null values of attributes in the system. In this paper, we propose a new approach to estimate null values in relational database, which utilize other clustering algorithm to cluster data, and use fuzzy correlation and distance similarity to calculate the correlation of different attribute. For verifying our method, this paper utilize mean of absolute error rate (MAER) as evaluation criterion to compare with other methods; it is shown that our proposed method proves importance than the existing methods for estimating null values in relational database systems.
Relation:	Soft Computing vol. 10, no. 2 pp.104-114
Appears in Collections:	[ Department of Electronic Commerce Management] Periodical Articles

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