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- W2147060158 abstract "Identifying the pattern support distribution (PSD) in datasets is useful for many data mining tasks, such as market basket analysis. The support of a pattern is the frequency of its occurrence in a dataset. Calculating the distribution of these supports over an entire dataset is computationally expensive; this cost can be reduced by sampling from the dataset and computing the PSD on a relatively small sample. However, this may miscount patterns and cause significant changes in the distribution identified. Based on the fact that the PSD shows a power-law relationship, in this paper we investigate the influence of sampling on the characteristics of the power-law relationship in the pattern support distribution. We consider sampling effect on this relationship under two assumptions: uniform distribution of pattern supports, and independent identically distributed (i.i.d.) distributions. We experimentally evaluate the influence on data from four real-world transaction datasets." @default.
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- W2147060158 date "2008-07-01" @default.
- W2147060158 modified "2023-09-22" @default.
- W2147060158 title "Exploring the Influence of Sampling on Pattern Support Distribution" @default.
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- W2147060158 doi "https://doi.org/10.1109/cit.2008.workshops.91" @default.
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