A 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.
CITATION STYLE
Ertek, G., Demiri, A., & Cakmak, F. (2012). Linking behavioral patterns to personal attributes through data re-mining. In Behavior Computing: Modeling, Analysis, Mining and Decision (pp. 197–214). Springer-Verlag London Ltd. https://doi.org/10.1007/978-1-4471-2969-1_12
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