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Linking behavioral patterns to personal attributes through data re-miningErtek, Gürdal and Demiriz, Ayhan and Çakmak, Fatih (2012) Linking behavioral patterns to personal attributes through data re-mining. In: Cao, Longbing and Yu, Philip S., (eds.) Behavior Computing: Modeling, Analysis, Mining and Decision. Springer, Berlin, pp. 197-214. ISBN 978-1-4471-2968-4 (Print) 978-1-4471-2969-1 (Online) This is the latest version of this item.
Official URL: http://dx.doi.org/10.1007/978-1-4471-2969-1_12 AbstractA fundamental challenge in behavioral informatics is the development of methodologies and systems that can achieve its goals and tasks, including behavior pattern analysis. This study presents such a methodology, that can be converted into a decision support system, by the appropriate integration of existing tools for association mining and graph visualization. The methodology enables the linking of behavioral patterns to personal attributes, through the re-mining of colored association graphs that represent item associations. The methodology is described and mathematically formalized, and is demonstrated in a case study related with retail industry.
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