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dc.contributor.authorEsma Nur Çinicioğlu
dc.contributor.authorGürdal Ertek
dc.contributor.authorDeniz Demirer
dc.date.accessioned2018-04-03T07:29:17Z
dc.date.available2018-04-03T07:29:17Z
dc.date.issued2011
dc.identifier.citationhttp://ieeexplore.ieee.org.adu-lib-database.idm.oclc.org/document/5946050/authorsen_US
dc.identifier.urihttps://dspace.adu.ac.ae/handle/1/982
dc.descriptionÇinicioğlu, E. N., Ertek, G., Demirer, D., & Yörük, H. E. (2011, June). A framework for automated association mining over multiple databases. In Innovations in Intelligent Systems and Applications (INISTA), 2011 International Symposium on (pp. 79-85). IEEE.en_US
dc.description.abstractLiterature 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.en_US
dc.language.isoen_USen_US
dc.publisherIEEEen_US
dc.subjectAssociation Miningen_US
dc.subjectAssociation Miningen_US
dc.subjectData Miningen_US
dc.subjectGraph Visualizationen_US
dc.titleA Framework for Automated Association Mining Over Multiple Databasesen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/INISTA.2011.5946050


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