A SURVEY ON SKYLINE COMPUTING FOR UNCERTAIN DATABASE

Skyline filters out hard and fast of thrilling points from a probably large set of statistics points. A point is thrilling if it is not dominated by using explicit. The skyline queries are vital on the way to assist users to deal with the large amount of available records through figuring out a fixed of interesting records items. Skyline computation is extensively used in multi-standards decision making. This paper conducts a survey on research issues on computing skyline for uncertain databases, with the view of providing interested researchers with an overview of the most recent research directions in this area. It further suggests possible research direction on skyline processing for uncertain databases.