CHSPAM: a multi-domain model for sequential pattern discovery and monitoring in contexts histories

Context-aware applications adapt their functionalities based on users contexts. Complementarily, a context history has information about previous contexts visited by a user. Context history enables applications to explore users past behavior. Researchers have studied different ways to analyze these...

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Veröffentlicht in:	Pattern analysis and applications : PAA Jg. 23; H. 2; S. 725 - 734
Hauptverfasser:	Dupont, Daniel, Barbosa, Jorge Luis Victória, Alves, Bruno Mota
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	London Springer London 01.05.2020 Springer Nature B.V
Schlagworte:	Computer Science Context Data analysis Domains Evolution Learning Monitoring Object recognition Pattern analysis Pattern Recognition Theoretical Advances Ubiquitous computing Context histories Pattern discovery Data mining
ISSN:	1433-7541, 1433-755X
Online-Zugang:	Volltext
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