In order to automatically control the environment, smart systems should have sufficient rules, which describe expected system's behavior. While such rules may be added man-ually, usually this requires considerable efforts, often surpassing those that users are willing to spend to setup the system. In this paper, we propose a novel technique to mine such rules automat-ically, given a sensor log from the environment. In particular, we mine itemsets, but we consider abnormal drops in the frequency of variable state combinations w.r.t. the frequency of their subsets, which represent undesirability of these combinations. We evaluate the technique both on simulated and real datasets, showing that the approach is effective and promising for further extensions. © 2014 IEEE.
Itemset-based mining of constraints for enacting smart environments / Degeler, Viktoriya; Lazovik, Alexander; Leotta, Francesco; Mecella, Massimo. - (2014), pp. 41-46. (Intervento presentato al convegno 2014 IEEE International Conference on Pervasive Computing and Communication Workshops, PERCOM WORKSHOPS 2014 tenutosi a Budapest; Hungary nel 24 March 2014 through 28 March 2014) [10.1109/percomw.2014.6815162].
Itemset-based mining of constraints for enacting smart environments
Leotta Francesco
;Mecella Massimo
2014
Abstract
In order to automatically control the environment, smart systems should have sufficient rules, which describe expected system's behavior. While such rules may be added man-ually, usually this requires considerable efforts, often surpassing those that users are willing to spend to setup the system. In this paper, we propose a novel technique to mine such rules automat-ically, given a sensor log from the environment. In particular, we mine itemsets, but we consider abnormal drops in the frequency of variable state combinations w.r.t. the frequency of their subsets, which represent undesirability of these combinations. We evaluate the technique both on simulated and real datasets, showing that the approach is effective and promising for further extensions. © 2014 IEEE.File | Dimensione | Formato | |
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