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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... estimation, including joins and multidimensional queries with correlated attributes. Yannis Ioannidis presented his current view on the topic during the conference; the written version is included as a paper in this volume. The awards ...
... estimation, including joins and multidimensional queries with correlated attributes. Yannis Ioannidis presented his current view on the topic during the conference; the written version is included as a paper in this volume. The awards ...
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... estimation and approximate query answering within query optimization (for the former) or pre-execution user-level query feedback (for both). Our discussion below focuses exactly on these two, especially rangequery selectivity estimation ...
... estimation and approximate query answering within query optimization (for the former) or pre-execution user-level query feedback (for both). Our discussion below focuses exactly on these two, especially rangequery selectivity estimation ...
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... estimation errors. The same effort pointed towards several possibilities for the sort and source parameters, i.e., value, spread, frequency, area, cumulative frequency, etc., with frequency and area being the best source parameters ...
... estimation errors. The same effort pointed towards several possibilities for the sort and source parameters, i.e., value, spread, frequency, area, cumulative frequency, etc., with frequency and area being the best source parameters ...
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... estimation into the 1dimensional histogram world [10] to deal specifically with real-valued data. Roughly, it suggests choosing the points of considerable change in the probability density function as the bucket boundaries (in a spirit ...
... estimation into the 1dimensional histogram world [10] to deal specifically with real-valued data. Roughly, it suggests choosing the points of considerable change in the probability density function as the bucket boundaries (in a spirit ...
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... estimation effectiveness is probably the most important property of histograms (or any other compression/estimation method for that matter), construction cost is also a concern. With respect to this aspect, histograms may be divided ...
... estimation effectiveness is probably the most important property of histograms (or any other compression/estimation method for that matter), construction cost is also a concern. With respect to this aspect, histograms may be divided ...
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