Skyline Probabilities with Range Query on Uncertain Dimensions

To obtain a different perspective, a user often would query information in a range of search rather than a fixed search. However, the issue arises when attempting to compute skyline on data that consist of both exact and continuous values. Thus, we propose an algorithm named SkyQUD-T for computing skyline with range query issued on uncertain dimensions by eliminating objects that do not satisfy a given query range before advance processing is performed on the surviving objects. Our behaviour analysis of SkyQUD-T on real and synthetic datasets shows that SkyQUD-T is able to support skyline on data with uncertain dimensions in a given range query.