A new method to estimate null values in relational database systems based on automatic clustering techniques

In this paper, we present a new method for estimating null values in relational database systems based on automatic clustering techniques. The proposed method clusters data in advance, such that it only needs to process the most proper clusters instead of all the data in the relational database syst...

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Vydáno v:	Information sciences Ročník 169; číslo 1; s. 47 - 69
Hlavní autoři:	Chen, Shyi-Ming, Hsiao, Hsin-Ren
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Elsevier Inc 06.01.2005
Témata:	Automatic clustering algorithm Fuzzy relation Null values Relational database systems Automatic clustering algorithm Null values Relational database systems Fuzzy relation
ISSN:	0020-0255, 1872-6291
On-line přístup:	Získat plný text
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Shrnutí:	In this paper, we present a new method for estimating null values in relational database systems based on automatic clustering techniques. The proposed method clusters data in advance, such that it only needs to process the most proper clusters instead of all the data in the relational database system for estimating null values. The average estimated accuracy rate of the proposed method is better than the existing methods for estimating null values in relational database systems.
Bibliografie:	ObjectType-Article-2 SourceType-Scholarly Journals-1 ObjectType-Feature-1 content type line 23
ISSN:	0020-0255 1872-6291
DOI:	10.1016/j.ins.2004.02.012