Linking behavioral patterns to personal attributes through data re-mining

Gurdal Ertek, Ayhan Demiri, Fatih Cakmak

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Citations (Scopus)


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.

Original languageEnglish
Title of host publicationBehavior Computing
Subtitle of host publicationModeling, Analysis, Mining and Decision
PublisherSpringer-Verlag London Ltd
Number of pages18
ISBN (Electronic)9781447129691
ISBN (Print)9781447129684
Publication statusPublished - Jan 1 2012
Externally publishedYes

ASJC Scopus subject areas

  • General Computer Science


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