Faster estimation of the correlation fractal dimension using box-counting

Details Faster estimation of the correlation fractal dimension using box-counting Faster estimation of the correlation fractal dimension using box-counting

2009-05-26

arxiv.org/abs/0905.4138v1

Computer Science

Databases

4 pages, to appear in BCI 2009 - 4th Balkan Conference in Informatics

Scientific paper

Fractal dimension is widely adopted in spatial databases and data mining, among others as a measure of dataset skewness. State-of-the-art algorithms for estimating the fractal dimension exhibit linear runtime complexity whether based on box-counting or approximation schemes. In this paper, we revisit a correlation fractal dimension estimation algorithm that redundantly rescans the dataset and, extending that work, we propose another linear, yet faster and as accurate method, which completes in a single pass.

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