In this Project, a new approach for data mining based on association rules has been proposed, designed, implemented, coded, verified and tested on real data. The integrated system is called a Databot. The approach proposes splitting of the running mode of the data mining into two different parts, in order to optimize the time-memory domain. For each part, an algorithm has been developed and coded using JAVA/MySql. The system is verified and applied to a real data of a shopping basket in a Erbilian supermarket. Test results show significant improvement in the quality and time required for rule generation.
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