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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Official URL: http://dx.doi.org/10.1007/978-1-4471-2969-1_12

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:	20287
Deposited By:	Gürdal Ertek
Deposited On:	07 Dec 2012 21:02
Last Modified:	31 Jul 2019 14:50

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Linking behavioral patterns to personal attributes through data re-mining. (deposited 29 Dec 2011 21:20)
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