Sampling approach for data mining of association rules

Data processing: database and file management or data structures – Database design – Data structure types

Reexamination Certificate

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C435S006120, C702S001000, C707S793000

Reexamination Certificate

active

10489138

ABSTRACT:
The current invention relates to a data mining technology for determining association rules within a multitude of N transactions each transaction comprising up to p different items. According to the invention a sample size n of the multitude of N transactions is determined based on precision requirements. The sample size n is chosen such, that it is at least in the order of magnitude of an estimated sample size n*. Finally association rules are computed based on a sample of the multitude of N transactions with sample size n according to any methodology for mining of association rules using the association rules as estimated association rules of the multitude of N transactions.

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Zaki et al. “Evaluation of Sampling for Data Mining of Association Rules,” Computer Science Dept., University of Rochester, Technical Report 617 (1996).
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