Utility Based Frequent Pattern Extraction from Mobile Web Services Sequence

Abstract

This article describes how patterns discovery of mobile web services is an emerging field today, in which utility also plays an important role. Utility may be referred to as profit, price, significance or preference of the mobile web services. With the help of web utility, one can discover highly interesting patterns of mobile web services. In the previous related studies, most of the approaches use utility as an important parameter to discover interesting patterns, but they also generate a large number of uninterested patterns too. Another problem is related to computational time; because no filtration is applied therefore computational time is too much. In this article, an approach namely; UMWSPM (Utility based Mobile Web Service Pattern Mining) for finding utility-based mobile web service patterns with high filtration and less computational time has been proposed. In this article, a utility is used as the preference of the accessed mobile web services. In particular, the proposed approach obtains more accurate and filtered mobile web service sequences. The experimental results show that the proposed approach has a good performance in terms of execution efficiency and memory utilization.