With the rapid exponential growth in size and number of available Databases in commercial, industrial, administrative and other applications, it is mandatory and important to examine how to extract knowledge from voluminous data. Mining Association rules in transactional or relational databases has recently attracted a lot of attention in database communities. The task is to derive a set of strong association rules in the form of “A1^….^ m=>B1^…^Bm” where Ai(for i €{1,2,.....m}) and Bi(for j € {1,2,.....,n}) are set of attribute-values, from the relevant data sets in a databases.. We have been collected heterogeneous type of data, from simple numerical measurements and text documents, to more information such as spatial data, multimedia channels, and hypertext documents.

Full text: IJEIR_907_Final.pdf