… (2015), we present a pervasive computing architecture based on a trust model that dynamically
takes trust decisions based on different contexts and different sources of trust information…

… In this work, we present a pervasive computing architecture based on a trust model that …
For our trustworthiness classification purpose we use Apriori algorithm for association rule …

… pervasive computing. Therefore, it is beneficial to identify the challenges that could limit the
application of ML in the pervasive … association analysis, we will review the apriori technique. …

… Apriori Algorithm uses frequent item steps to generate association rules. It is based on the
… In: Proceeding of 3rd international conference on grid and pervasive computing, pp. 18–28 (…

… it in the context of a popular pervasive computing application: smart environments. In recent
… and variations on the Apriori algorithm [10]. We use a variant of the Apriori algorithm to find …

… them in the context of a popular pervasive computing application: smart environments. In …
Our work is based on a variant of the Apriori algorithm. The Apriori algorithm attempts to find …

… relying on models of a priori knowledge impractical to use. Machine learning techniques
have been widely applied to learning complex associations between situations and sensor data…

… Access control policies cannot be defined based on entity’s identities/roles, as in traditional
access control solutions, or be specified a priori to face any operative run time condition, but …

… Pervasive computing (PerC) systems are now being integrated into everyday life which is …
The sensor data can be integrated with different range of sources in pervasive systems which …

… Computer simulation shows that the proposed scheme allows higher performance than two
representative rule reduction schemes such as Apriori-… for mining association rule, Apriori-…