Authors: Thirunavukkarasu Ramkumar Rengaramanujam Srinivasan
Publish Date: 2008/03/11
Volume: 17, Issue: 3, Pages: 313-334
Abstract
Because of the rapid growth in information and communication technologies a company’s data may be spread over several continents For an effective decisionmaking process knowledge workers need data which may be geographically spread in different locations In such circumstances multidatabase mining plays a major role in the process of extracting knowledge from different data sources In this paper we have proposed a new methodology for synthesizing highfrequency rules from different data sources where data source weight has been calculated on the basis of their transaction population We have also proposed a new method for calculating global confidence Our goal in synthesizing local patterns to obtain global patterns is that the support and confidence of synthesized patterns must be very nearly same if all the databases are integrated and monomining has been done Experiments conducted clearly establish that the proposed method of synthesizing highfrequency rules fairly meets the stipulation
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