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Erschienen in:
2005 | OriginalPaper | Buchkapitel
A Metropolis Sampling Method for Drawing Representative Samples from Large Databases
verfasst von : Hong Guo, Wen-Chi Hou, Feng Yan, Qiang Zhu
Erschienen in: Database Systems for Advanced Applications
Verlag: Springer Berlin Heidelberg
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In this paper, a sampling method based on the Metropolis algorithm is proposed. It is able to draw samples that have the same distribution as the underlying probability distribution. It is a simple, efficient, and powerful method suitable for all distributions. We have performed experiments to examine the qualities of the samples by comparing their statistical properties with the underlying population. The experimental results show that the samples selected by our method are bona fide representative.