Estimating Null Values In Relational Database Systems Based On Genetic Algorithms

In this paper, we present a new method to estimate null values in relational database systems based on genetic algorithms. It can tune the membership functions of the linguistic values of the attributes in relational database systems for estimating null values. The proposed method can get a higher average estimated accuracy rate than the existing methods for estimating null values in relational database systems.

• Type: Journal
• Year: 2005
• Where: CAS
• Authors: Shyi-Ming Chen, Shih-Wei Lee
• Keywords: Average Estimated Accuracy, CAS 2005, Null Values, Relational Database Systems