An Indexed Non-probability Skyline Query Processing Framework for Uncertain Data

摘要: Today, we are in the era of making multi-criteria decisions based on analysis available data collected from autonomous databases that usually contain uncertain data. Skyline query technique returns a set interesting objects (skylines) to user by eliminating dominated other within database. Obviously, without doubt streamlining process processing skylines providing answers user-specified queries is inevitable. In this paper, proposed SQUiD framework combines an index-based with prediction method reduce computational time for computing over high-dimensional Through experimentations, results obtained clearly demonstrate superiority SkyQUD and BBIS algorithm.