CSQUiD: an index and non-probability framework for constrained skyline query processing over uncertain data.

ABSTRACT: Uncertainty of data, the degree to which data are inaccurate, imprecise, untrusted, and undetermined, is inherent in many contemporary database applications, and numerous research endeavours have been devoted to efficiently answer skyline queries over uncertain data. The literature discussed two different methods that could be used to handle the data uncertainty in which objects having continuous range values. The first method employs a probability-based approach, while the second assumes that the uncertain values are represented by their median values. Nevertheless, neither of these methods seem to be suitable for the modern high-dimensional uncertain databases due to the following reasons. The first method requires an intensive probability calculations while the second is impractical. Th

SUBMITTER: Lawal MM 

PROVIDER: S-EPMC11639172 | biostudies-literature | 2024

REPOSITORIES: biostudies-literature