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 the 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.

Download
Linking Behavioral Patterns to Personal Attributes through Data Re-Mining

Dr. Gürdal Ertek recommends the following related books:

• Behavior Computing: Modeling, Analysis, Mining and Decision 2012th Edition
• Analyzing Social Media Networks with NodeXL: Insights from a Connected World 1st Edition
• The Craft of Information Visualization: Readings and Reflections (Interactive Technologies) 1st Edition