A framework for automated association mining over multiple databases
Çinicioğlu, Esma Nur and Ertek, Gürdal and Demirer, Deniz and Yörük, Ersin Hasan (2011) A framework for automated association mining over multiple databases. In: International Symposium on Innovations in Intelligent Systems and Applications (INISTA 2011), Istanbul, Turkey
Official URL: http://dx.doi.org/10.1109/INISTA.2011.5946050
Literature on association mining, the data mining methodology that investigates associations between items, has primarily focused on efficiently mining larger databases. The motivation for association mining is to use the rules obtained from historical data to influence future transactions. However, associations in transactional processes change significantly over time, implying that rules extracted for a given time interval may not be applicable for a later time interval. Hence, an analysis framework is necessary to identify how associations change over time. This paper presents such a framework, reports the implementation of the framework as a tool, and demonstrates the applicability of and the necessity for the framework through a case study in the domain of finance.
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