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.
|Title of host publication||Behavior Computing|
|Subtitle of host publication||Modeling, Analysis, Mining and Decision|
|Publisher||Springer-Verlag London Ltd|
|Number of pages||18|
|Publication status||Published - Jan 1 2012|
ASJC Scopus subject areas
- Computer Science(all)