By Marvin I. Knopp
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Extra info for Analytic number theory. Proceedings conference, Temple Univ., Philadelphia, 1980
We are currently developing techniques for sparse high-dimensional data cubes 7 . Also, to compare our techniques to previous approaches in more detail, further theoretical and experimental evaluations are needed. -Y. Chan and Y. E. Ioannidis. Hierarchical cubes for range-sum queries. In Proc. Int. Conf. on Very Large Databases VLDB , pages 675 686, 1999. 2 S. Ge ner, D. Agrawal, and A. El Abbadi. The dynamic data cube. In Proc. Int. Conf. on Extending Database Technology EDBT , pages 237 253, 2000.
El Abbadi. The dynamic data cube. In Proc. Int. Conf. on Extending Database Technology EDBT , pages 237 253, 2000. 3 S. Ge ner, D. Agrawal, A. El Abbadi, and T. Smith. Relative pre x sums: An e cient approach for querying dynamic OLAP data cubes. In Proc. Int. Conf. on Data Engineering ICDE , pages 328 335, 1999. 4 S. Ge ner, M. Riedewald, D. Agrawal, and A. El Abbadi. Data cubes in dynamic environments. Data Engineering Bulletin, 22 4 :31 40, 1999. 5 J. Gray, S. Chaudhuri, A. Bosworth, A. Layman, D.
Srikant. Range queries in OLAP data cubes. In Proc. Int. Conf. on Management of Data SIGMOD , pages 73 88, 1997. 7 M. Riedewald, D. Agrawal, and A. El Abbadi. pCube: Update-e cient online aggregation with progressive feedback and error bounds. In Proc. Int. Conf. on Scienti c and Statistical Database Management SSDBM , 2000. To appear. 8 M. Riedewald, D. Agrawal, A. El Abbadi, and R. Pajarola. Space-e cient data cubes for dynamic environments. Technical Report TRCS00-05, UC Santa Barbara, 2000.
Analytic number theory. Proceedings conference, Temple Univ., Philadelphia, 1980 by Marvin I. Knopp