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. |
From inside the book
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Page 20
... buckets. Of great importance is the serial class, which requires that buckets are non-overlapping with respect to some parameter (the next characteristic), and its subclass endbiased, which requires at most one non-singleton bucket ...
... buckets. Of great importance is the serial class, which requires that buckets are non-overlapping with respect to some parameter (the next characteristic), and its subclass endbiased, which requires at most one non-singleton bucket ...
Page 21
... bucket, which is independent of the partition rule of a histogram. The most common alternatives are the continuous value assumption and the uniform spread assumption; both assume values uniformly placed in the range covered by the bucket ...
... bucket, which is independent of the partition rule of a histogram. The most common alternatives are the continuous value assumption and the uniform spread assumption; both assume values uniformly placed in the range covered by the bucket ...
Page 22
... bucket vastly different source-parameter values. Among them, we distinguish mardiff, which places bucket boundaries between adjacent source-parameter values (in sort-parameter order) whose difference is among the largest, and compressed ...
... bucket vastly different source-parameter values. Among them, we distinguish mardiff, which places bucket boundaries between adjacent source-parameter values (in sort-parameter order) whose difference is among the largest, and compressed ...
Page 23
... bucket and, at each step, splits the space captured by one of the buckets it has formed into two subspaces, until it has exhausted its budget of buckets. The split is made in the bucket and along the dimension that is characterized as ...
... bucket and, at each step, splits the space captured by one of the buckets it has formed into two subspaces, until it has exhausted its budget of buckets. The split is made in the bucket and along the dimension that is characterized as ...
Page 24
... bucket to capture linearly growing or shrinking frequencies at the expense of fewer buckets for a fixed space budget. Likewise, another exception uses equally small additional space within each bucket to store cumulative frequencies in ...
... bucket to capture linearly growing or shrinking frequencies at the expense of fewer buckets for a fixed space budget. Likewise, another exception uses equally small additional space within each bucket to store cumulative frequencies in ...
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