Independently of the specific task to be enacted in a smart space, it is always crucial to mine a set of models representing environmental dynamics and, noteworthy, user habits and desires. Many different formalisms have been proposed to model human habits, but the vast majority of them are either difficult to read and evaluate or their definition requires a huge amount of work from either experts or users. In this paper we propose to employ process mining techniques in order to model human habits, and we experimentally evaluate such an approach on a dataset built adopting the Smart-Home-in-a-Box toolkit with real users.

Mining user habits in smart spaces through process mining techniques / Dimaggio, M.; Leotta, F.; Mecella, M.; Sora, D.. - (2016), pp. 342-349. (Intervento presentato al convegno 24th Italian Symposium on Advanced Database Systems, SEBD 2016 tenutosi a Lecce; Italy).

Mining user habits in smart spaces through process mining techniques

Dimaggio M.;Leotta F.;Mecella M.
;
Sora D.
2016

Abstract

Independently of the specific task to be enacted in a smart space, it is always crucial to mine a set of models representing environmental dynamics and, noteworthy, user habits and desires. Many different formalisms have been proposed to model human habits, but the vast majority of them are either difficult to read and evaluate or their definition requires a huge amount of work from either experts or users. In this paper we propose to employ process mining techniques in order to model human habits, and we experimentally evaluate such an approach on a dataset built adopting the Smart-Home-in-a-Box toolkit with real users.
2016
24th Italian Symposium on Advanced Database Systems, SEBD 2016
Intelligent buildings; Sensors; Home environments
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
Mining user habits in smart spaces through process mining techniques / Dimaggio, M.; Leotta, F.; Mecella, M.; Sora, D.. - (2016), pp. 342-349. (Intervento presentato al convegno 24th Italian Symposium on Advanced Database Systems, SEBD 2016 tenutosi a Lecce; Italy).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/1336602
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