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

Authors:
Shyi-Ming Chen;Hsin-Ren Hsiao
Affiliations:
Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC;Department of Electronic Engineering, National Taiwan University of Science and Technology, Taipei, Taiwan, ROC
Venue:
Information Sciences: an International Journal
Year:
2005

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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.