发明名称 |
Sampling approach for data mining of association rules |
摘要 |
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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申请公布号 |
US2005027663(A1) |
申请公布日期 |
2005.02.03 |
申请号 |
US20040489138 |
申请日期 |
2004.09.16 |
申请人 |
BEEKMANN FRANK;GRUND ROLAND |
发明人 |
BEEKMANN FRANK;GRUND ROLAND |
分类号 |
G06F19/00;G06F17/18;G06F17/30;G06N3/00;G06N5/04;(IPC1-7):G06F15/18 |
主分类号 |
G06F19/00 |
代理机构 |
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地址 |
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