Linking behavioral patterns to personal attributes through data re-mining

Ertek, Gürdal and Demiriz, Ayhan and Çakmak, Fatih (2011) Linking behavioral patterns to personal attributes through data re-mining. In: Cao, Longbing and Yu, Philip S., (eds.) Behavior Computing: Modeling, Analysis, Mining and Decision. Springer, Berlin. (Accepted/In Press)

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Abstract

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.

Item Type:	Book Section / Chapter
Uncontrolled Keywords:	behavior computing, association mining, association graphs, re-mining, retail data mining
Subjects:	H Social Sciences > HF Commerce > HF5410-5417.5 Marketing. Distribution of products H Social Sciences > HD Industries. Land use. Labor > HD0028 Management. Industrial Management H Social Sciences > H Social Sciences (General) H Social Sciences > HD Industries. Land use. Labor > HD0030.2 Electronic data processing. Information technology H Social Sciences > HF Commerce > HF4999.2-6182 Business
ID Code:	18135
Deposited By:	Gürdal Ertek
Deposited On:	29 Dec 2011 21:20
Last Modified:	30 Jul 2019 16:03

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Linking behavioral patterns to personal attributes through data re-mining. (deposited 29 Dec 2011 21:20) [Currently Displayed]
- Linking behavioral patterns to personal attributes through data re-mining. (deposited 07 Dec 2012 21:02)

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