Linking Behavioral Patterns to Personal Attributes through Data Re-Mining

October 23, 2017
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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.

Ertek, G., Demiriz, A., Çakmak, F. (2012) “Linking Behavioral Patterns to Personal Attributes through Data Re-Mining” in Behavior Computing: Modeling, Analysis, Mining and Decision. Eds: Longbing Cao, Philip S. Yu. Springer.

Note: This is the final draft version of this paper. Please cite this paper (or this final draft) as above.

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