Patent ID: 7289984
Filing Date: 2007-10-30
Classification: G06F,Y10S

Abstract:
1. A computerized data mining method for determining association rules within N transactions, said method comprising: determining a minimum sample size n* of said N transactions, each transaction comprising p different items for characterizing each transaction, p being at least 2, wherein said minimum sample size n* is determined based on a multivariate estimation analysis for achieving precision requirements; computing association rules based on a sample of n transactions of said N transactions according to a methodology for mining of association rules, said n being at least n* and less than N, said computed association rules being an estimation of association rules of said N transactions, said computing association rules being performed by a server computer, said computing association rules based on the sample of n transactions of said N transactions resulting in a reduction in processing time for computing the association rules as compared with computing the association rules based on the N transactions; and sending, by the server computer, the computed association rules across a communication network to a memory of a client computer for subsequent usage by the client computer, wherein said precision requirements comprise: