Mining Multiple Large Databases

Effective data analysis with multiple databases requires highly accurate patterns. But, local pattern analysis might extract low quality of patterns from multiple databases. Thus, it is necessary to improve mining multiple databases. In this paper, we propose a new technique of mining multiple databases. In this technique, each local database is mined using a traditional data mining technique in a particular order for synthesizing global patterns. The proposed technique improves quality of synthesized global patterns significantly. We conduct experiments on both real and synthetic datasets to judge effectiveness of the proposed technique.