Emergent intertransaction association rules for abnormality detection in intelligent environments

Emergent intertransaction association rules for abnormality detection in intelligent environments

This paper is concerned with identifying anomalous behaviour of people in smart environments. We propose the use of emergent transaction mining and the use of the extended frequent pattern tree as a basis. Our experiments on two data sets demonstrate that emergent intertransaction associations are a...

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Bibliographic Details
Main Authors: Luhr, Sebastian, Venkatesh, Svetha, West, Geoffrey
Other Authors: Palaniswami, M.
Format: Conference Paper
Published: IEEE Computer Society. 2005
Online Access:http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=1595603
http://hdl.handle.net/20.500.11937/25016

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