Proceedings 2003 VLDB Conference: 29th International Conference on Very Large Databases (VLDB)Morgan Kaufmann, 2003 M12 2 - 1050 pages Proceedings of the 29th Annual International Conference on Very Large Data Bases held in Berlin, Germany on September 9-12, 2003. Organized by the VLDB Endowment, VLDB is the premier international conference on database technology. |
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... Optimization in the Presence of Dependencies ... 644 Aris Tsois, Timos Sellis (National Technical University of Athens, Greece) Estimating the Output Cardinality of Partial Preaggregation with a Measure of Clusteredness ...
... Optimization in the Presence of Dependencies ... 644 Aris Tsois, Timos Sellis (National Technical University of Athens, Greece) Estimating the Output Cardinality of Partial Preaggregation with a Measure of Clusteredness ...
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... Optimization Workshop”, which was organized in conjunction with SIGMOD'89 in Portland, when Stavros argued that optimizing very large join queries did not make any sense, as the errors in the selectivity estimates would be very large ...
... Optimization Workshop”, which was organized in conjunction with SIGMOD'89 in Portland, when Stavros argued that optimizing very large join queries did not make any sense, as the errors in the selectivity estimates would be very large ...
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... Optimization SIGMOD Conf. (2002) 263-274 [13] Buccafurri F., Rosaci D., Saccà D.: Improving Range Query Estimation on Histograms. ICDE (2002) 628-238 [14] Chakrabarti K., Garofalakis M., Rastogi R., Shim K.: Approximate Query Processing ...
... Optimization SIGMOD Conf. (2002) 263-274 [13] Buccafurri F., Rosaci D., Saccà D.: Improving Range Query Estimation on Histograms. ICDE (2002) 628-238 [14] Chakrabarti K., Garofalakis M., Rastogi R., Shim K.: Approximate Query Processing ...
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... Optimization of Histograms. SIGMOD Conf. (2001) 223-234 [41] Jagadish H. V., Kapitskaia O., Ng R., Srivastava D.: Multi-Dimensional Substring Selectivity Estimation. VLDB Conf. (1999) 387-398 [42] Jagadish H. V., Koudas N ...
... Optimization of Histograms. SIGMOD Conf. (2001) 223-234 [41] Jagadish H. V., Kapitskaia O., Ng R., Srivastava D.: Multi-Dimensional Substring Selectivity Estimation. VLDB Conf. (1999) 387-398 [42] Jagadish H. V., Koudas N ...
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... optimization scheme. As with joins in relational queries, optimization of navigation operations is crucial for efficiently executing complex Web queries. However, the difference is that navigation operators must now be implemented over ...
... optimization scheme. As with joins in relational queries, optimization of navigation operations is crucial for efficiently executing complex Web queries. However, the difference is that navigation operators must now be implemented over ...
Contents
17 | |
31 | |
Part 4 Industrial Sessions | 935 |
Part 5 Panels | 1041 |
Part 6 Demo Sessions | 1051 |
Author Index | 1153 |
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Common terms and phrases
ACM SIGMOD algorithm applications approach attribute average bisimulation bucket buffer cache misses clustering compressed compute Conf constraints contains context nodes corresponding cost Data Bubble data mining data set data stream database systems DBLP defined denote distance distributed edge efficient elements engine estimation evaluation example execution experiments Figure function global graph hash join hash table histograms ICDE implementation input integration interface join join algorithm load matching merge algorithm method micro-clusters MJoin operator optimization output PAC-Man Pagerank parameter partition path expression performance predicate probe problem Proc query optimization query plan query processing ranking relation repository retrieval rithm scalability scan schema Section selection semantics sequence server shows SIGMOD storage stored structure subtree techniques tion tree pattern tuples Unicode update VLDB Web.Views window workload XFDs XML document XML query XPath