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Databases and Information Systems Commons

Open Access. Powered by Scholars. Published by Universities.®

2006

University of Nebraska - Lincoln

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Adaptive Interpolation Algorithms For Temporal-Oriented Datasets, Jun Gao Jun 2006

Adaptive Interpolation Algorithms For Temporal-Oriented Datasets, Jun Gao

Department of Computer Science and Engineering: Dissertations, Theses, and Student Research

Spatiotemporal datasets can be classified into two categories: temporal-oriented and spatial-oriented datasets depending on whether missing spatiotemporal values are closer to the values of its temporal or spatial neighbors. We present an adaptive spatiotemporal interpolation model that can estimate the missing values in both categories of spatiotemporal datasets. The key parameters of the adaptive spatiotemporal interpolation model can be adjusted based on experience.