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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Vydané v:	Pattern analysis and applications : PAA Ročník 23; číslo 2; s. 725 - 734
Hlavní autori:	Dupont, Daniel, Barbosa, Jorge Luis Victória, Alves, Bruno Mota
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	London Springer London 01.05.2020 Springer Nature B.V
Predmet:	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
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