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Indexing Weighted-Sequences in Large Databases (2003)  (Make Corrections)  (2 citations)
Haixun Wang, Chang-Shing Perng, Wei Fan, Sanghyun Park, Philip S. Yu



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Abstract: We present an index structure for managing weighted sequences in large databases. A weighted-sequence is defined as a two-dimensional structure where each element in the sequence is associated with a weight. A series of network events, for instance, is a weighted-sequence in that each event has a timestamp. Querying a large sequence database by events' occurrence patterns is a first step towards understanding the temporal causal relationships among the events. The index structure proposed in... (Update)

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...method supports e#cient non contiguous sequece matching. A similar technique is used for weighted subsequece matching and pattern discovery [21]. We unify structure indexes and value indexes into a single index that relies solely on B Trees through a dynamic labeling method. 6....

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BibTeX entry:   (Update)

Haixun Wang, Chang shing Perng, Wei Fan, Sanghyun Park, and Philip S. Yu. Indexing weighted sequences in large databases. In ICDE, 2003. http://citeseer.ist.psu.edu/wang03indexing.html   More

@misc{ wang03indexing,
  author = "H. Wang and C. Perng and W. Fan and S. Park and P. Yu",
  title = "Indexing weighted sequences in large databases",
  text = "Haixun Wang, Chang shing Perng, Wei Fan, Sanghyun Park, and Philip S. Yu.
    Indexing weighted sequences in large databases. In ICDE, 2003.",
  year = "2003",
  url = "citeseer.ist.psu.edu/wang03indexing.html" }
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