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...
| Main Authors: | , , |
|---|---|
| Other Authors: | |
| 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 |