The XML data query cost estimation problem is a typical multi-element query condition cost estimation problem. The value information distribution in XML data is not only related to other value information distributions, but also to the structural information in XML data. When the XML data structure is complex, high-dimensional elements will be formed, resulting in a significant increase in storage space and error rate. Therefore, this paper proposes a cost estimation algorithm that uses the discrete cosine transform (DCT) method to compress multidimensional histograms to solve the above problem. Experimental results show that the proposed method can reduce storage space and error rate.
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