Optimal workload-based weighted wavelet synopses

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3363 LNCS, Issue , 2005, Pages 368-382

  Matias, Yossi ^a   Urieli, Daniel ^a  

^a TEL AVIV UNIVERSITY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

DATA SYNOPSIS; LINEAR TIME; MASSIVE DATA SETS; NOVEL CONSTRUCTION; OPTIMAL ALGORITHM; OPTIMAL WAVELETS; RELATIVE ERRORS; WEIGHTED WAVELETS;

OPTIMIZATION;

EID: 77049119254     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-30570-5_25     Document Type: Conference Paper

References (22)

1. A. Aboulnaga and S. Chaudhuri. Self-tuning histograms: Building histograms without looking at data. In Proceedings of the 1999 ACM SIGMOD International Conference on Management of Data, pages 181-192, 1999.
2. K. Chakrabarti, M. Garofalakis, R. Rastogi, and K. Shim. Approximate query processing using wavelets. In VLDB 2000, Proceedings of 26th International Conference on Very Large Data Bases, 2000, pages 111-122.
3. S. Chaudhuri, G. Das, M. Datar, R. Motwani, , and V. R. Narasayya. Overcoming limitations of sampling for aggregation queries. In ICDE, pages 534-542, 2001.
4. S. Chaudhuri, G. Das, and V. Narasayya. A robust, optimization-based approach for approximate answering of aggregate queries. In Proceedings of the 2001 ACM SIGMOD international conference on on Management of data, 2001.
5. R. R. Coifman, P. W. Jones, , and S. Semmes. Two elementary proofs of the l2 boundedness of cauchy integrals on lipschitz curves. J. Amer. Math. Soc., 2(3):553-564, 1989.
6. A. Deligiannakis and N. Roussopoulos. Extended wavelets for multiple measures. In Proceedings of the 2003 ACM SIGMOD International Conference on Management of Data, pages 229-240.
7. V. Ganti, M.-L. Lee, and R. Ramakrishnan. Icicles: Self-tuning samples for approximate query answering. The VLDB Journal, pages 176-187, 2000.
8. M. Garofalakis and P. B. Gibbons. Wavelet synopses with error guarantees. In Proceedings of the 2002 ACM SIGMOD International Conference on Management of Data, 2002.
9. M. Garofalakis and A. Kumar. Deterministic wavelet thresholding for maximumerror metrics. In Proceedings of the 2004 ACM SIGMOD international conference on on Management of data, pages 166-176.
10. P. B. Gibbons and Y. Matias. Synopsis data structures for massive data sets. In DIMACS: Series in Discrete Mathematics and Theoretical Computer Science: Special Issue on External Memory Algorithms and Visualization, A, 1999.
11. p on general measure spaces. J. Fourier Anal. Appl., 3(4), 1997.
12. S. Mallat. A Wavelet Tour of Signal Processing. Academic Press, 2nd edition, 1999.
13. G. S. Manku, S. R., and B. G. Lindsay. Approximate medians and other quantiles in one pass and with limited memory. In Proceedings of the 1998 ACM SIGMOD International Conference on Management of Data, pages 426-435, New York, 1998.
14. Y. Matias and L. Portman. Workload-based wavelet synopses. Technical report, Department of Computer Science,Tel Aviv University, 2003.
15. Y. Matias and D. Urieli. Optimal wavelet synopses for range-sum queries. Technical report, Department of Computer Science, Tel-Aviv University, 2004.
16. Y. Matias and D. Urieli. Optimal workload-based weighted wavelet synopses. Technical report, Department of Computer Science, Tel-Aviv University, 2004.
17. Y. Matias, J. S. Vitter, and M. Wang. Wavelet-based histograms for selectivity estimation. In Proceedings of the 1998 ACM SIGMOD International Conference on Management of Data, pages 448-459, Seattle, WA, June 1998.
18. S. Muthukrishnan. Workload-optimal wavelet synopsis. Technical report, May 2004.
19. L. Portman. Workload-based wavelet synopses. M.sc. thesis, Tel Aviv University, 2003.
20. E. J. Stollnitz, T. D. Derose, and D. H. Salesin. Wavelets for Computer Graphics. Morgan Kaufmann, 1996.
21. J. S. Vitter and M. Wang. Approximate computation of multidimensional aggregates of sparse data using wavelets. In Proceedings of the 1999 ACM SIGMOD International Conference on Management of Data, pages 193-204, Phildelphia, June 1999.
22. J. S. Vitter, M. Wang, and B. Iyer. Data cube approximation and histograms via wavelets. In Proceedings of Seventh International Conference on Information and Knowledge Management, pages 96-104, Washington D.C., November 1998.