Compressing bitmap indices by data reorganization

@article{Pinar2005CompressingBI,
  title={Compressing bitmap indices by data reorganization},
  author={Ali Pinar and Tao Tao and Hakan Ferhatosmanoglu},
  journal={21st International Conference on Data Engineering (ICDE'05)},
  year={2005},
  pages={310-321}
}
Many scientific applications generate massive volumes of data through observations or computer simulations, bringing up the need for effective indexing methods for efficient storage and retrieval of scientific data. Unlike conventional databases, scientific data is mostly read-only and its volume can reach to the order of petabytes, making a compact index structure vital. Bitmap indexing has been successfully applied to scientific databases by exploiting the fact that scientific data are… CONTINUE READING
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