Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
9651080 | Information Sciences | 2005 | 23 Pages |
Abstract
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.
Related Topics
Physical Sciences and Engineering
Computer Science
Artificial Intelligence
Authors
Shyi-Ming Chen, Hsin-Ren Hsiao,