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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Page 82
... clusters may vary with both the moment at which they are computed as well as ... micro-clustering component requires a very efficient process for storage of ... clusters whenever required. Since the offline component requires only the ...
... clusters may vary with both the moment at which they are computed as well as ... micro-clustering component requires a very efficient process for storage of ... clusters whenever required. Since the offline component requires only the ...
Page 83
... micro-clusters is a temporal extension of the cluster feature vector in [14]. We will refer to the micro-cluster for a set of points C by CFT(C). As in [14], this summary information can be expressed in an additive way over the ...
... micro-clusters is a temporal extension of the cluster feature vector in [14]. We will refer to the micro-cluster for a set of points C by CFT(C). As in [14], this summary information can be expressed in an additive way over the ...
Page 84
... micro-clusters at times of 16, 24, 32, 36, 40, 44, 46, 48, 50, 51, 52, 53, 54, and 55 are stored. It is easy to see ... Micro-cluster Maintenance The micro-clustering phase is the online statistical data collection portion of the ...
... micro-clusters at times of 16, 24, 32, 36, 40, 44, 46, 48, 50, 51, 52, 53, 54, and 55 are stored. It is easy to see ... Micro-cluster Maintenance The micro-clustering phase is the online statistical data collection portion of the ...
Page 85
... microclusters is initiated. Whenever a new data point Xi. arrives, the micro-clusters are updated in order to reflect the changes. Each data point either needs to be absorbed by a micro-cluster, or it needs to be put in a cluster of its ...
... microclusters is initiated. Whenever a new data point Xi. arrives, the micro-clusters are updated in order to reflect the changes. Each data point either needs to be absorbed by a micro-cluster, or it needs to be put in a cluster of its ...
Page 86
... Cluster Creation This section discusses one of the offline components, in which a user has the flexibility to explore stream clusters over different horizons. The micro-clusters generated by the algorithm serve as an intermediate ...
... Cluster Creation This section discusses one of the offline components, in which a user has the flexibility to explore stream clusters over different horizons. The micro-clusters generated by the algorithm serve as an intermediate ...
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