A Performance Analysis of Prediction Techniques in Handling High-Dimensional Uncertain Data for the Application of Skyline Query Over Data Stream
The proliferation of high-dimensional data in many advanced database applications is a result of today’s technological advancements. These data points that correspond to objects are often without a precise description, which make their representation uncertain. While the concept of data s...
| Published in: | IEEE Access |
|---|---|
| Main Authors: | , , , , , |
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2024-01-01
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| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10654264/ |
