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

被引：18

作者：

Chen, SM ^{[1
]}

Hsiao, HR

机构：

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

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

来源：

INFORMATION SCIENCES | 2005年 / 169卷 / 1-2期

关键词：

automatic clustering algorithm; fuzzy relation; null values; relational database systems;

D O I：

10.1016/j.ins.2004.02.012

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 [计算机科学与技术];

摘要：

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. (C) 2004 Elsevier Inc. All rights reserved.

引用

页码：47 / 69

页数：23

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