Planning for Range Queries with User-defined Aggregation on Multi-dimensional Scientific Datasets

@inproceedings{Chang1999PlanningFR,
  title={Planning for Range Queries with User-defined Aggregation on Multi-dimensional Scientific Datasets},
  author={Chialin Chang and Tahsin M. Kurç and Alan Sussman and Joel H. Saltz},
  year={1999}
}
Applications that make use of very large scientific datasets have become an increasingly important subset of scientific applications. In these applications, the datasets are often multi-dimensional, i.e., data items are associated with points in a multi-dimensional attribute space. The processing is usually highly stylized, with the basic processing steps consisting of (1) retrieval of a subset of all available data in the input dataset via a range query, (2) projection of each input data item… CONTINUE READING
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