Active Adjustment: An Effective Method for Keeping the TPR*-tree Compact

@article{Kim2010ActiveAA,
  title={Active Adjustment: An Effective Method for Keeping the TPR*-tree Compact},
  author={Sang Wook Kim and Min-Hee Jang and Sungchae Lim},
  journal={J. Inf. Sci. Eng.},
  year={2010},
  volume={26},
  pages={1583-1600}
}
Recently, with the advent of diverse applications based on locations of moving objects, it has become crucial to develop efficient index schemes for spatio-temporal databases. The TPR*-tree is popularly accepted as an index structure for processing futuretime queries on such spatio-temporal databases. In the TPR*-tree, the future locations of moving objects are predicted based on the Conservative Bounding Rectangle (CBR). Since the areas predicted from CBRs tend to grow rapidly over time, CBRs… CONTINUE READING

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