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Output details

11 - Computer Science and Informatics

Edinburgh Napier University

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Article title

Recognize contextual situation in pervasive environments using process mining techniques

Type
D - Journal article
Title of journal
Journal of Ambient Intelligence and Humanized Computing
Article number
-
Volume number
2
Issue number
1
First page of article
53
ISSN of journal
1868-5145
Year of publication
2010
URL
-
Number of additional authors
2
Additional information

<07> This paper contributed to a key issue in pervasive computing. It has innovatively impacted several research projects worldwide (e.g. IEEE Communication Magazine, 10.1109/MCOM.2012.6178833, Springer AIHC, 10.1007/s12652-011-0060-4) via a novel concept of “situation-awareness” to handle dynamic user contexts, by uniquely considering context history, use of process mining techniques for measuring situation alignment and providing a formalization of the situation recognition problem. The work has led to the development and award of a Lawrence Ho research grant (http://www.iidi.napier.ac.uk/c/grants/grantid/13368274).

AIHC (IF 1.391) is a leading-edge forum to contribute and disseminate the most innovative research of ambient intelligence and humanized computing.

Interdisciplinary
-
Cross-referral requested
-
Research group
None
Citation count
7
Proposed double-weighted
No
Double-weighted statement
-
Reserve for a double-weighted output
No
Non-English
No
English abstract
-