Linking behavioral patterns to personal attributes through data re-mining

Ertek, Gürdal and Demiriz, Ayhan and Çakmak, Fatih (2012) 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, pp. 197-214. ISBN 978-1-4471-2968-4 (Print) 978-1-4471-2969-1 (Online)

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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
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Faculty of Engineering and Natural Sciences > Academic programs > Manufacturing Systems Eng.
Depositing User: Gürdal Ertek
Date Deposited: 07 Dec 2012 21:02
Last Modified: 26 Apr 2022 08:28
URI: https://research.sabanciuniv.edu/id/eprint/20287

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