System and method for indexing weighted-sequences in large...

Data processing: database and file management or data structures – Database design – Data structure types

Reexamination Certificate

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Reexamination Certificate

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07418455

ABSTRACT:
The present invention provides an index structure for managing weighted-sequences in large databases. A weighted-sequence is defined as a two-dimensional structure in which each element in the sequence is associated with a weight. A series of network events, for instance, is a weighted-sequence because each event is associated with 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 herein enables the efficient retrieval from the database of all subsequences (contiguous and non-contiguous) that match a given query sequence both by events and by weights. The index structure also takes into consideration the nonuniform frequency distribution of events in the sequence data.

REFERENCES:
H. Wang, C. Perng, W Fan, S Park, P Yu. “Indexing Weighted-Sequences in Large Dataase” ICDE'03 Mar. 5-8, 2003 pp. 63-74.
Haixun Wang Resume, as archived Mar. 21, 2003.
IEEE Reliability Society, www.IEEE.org p. 3. Apr. 3, 2007.
IEEE Publication Services and Products Board Operations Manual pp. 1-78. Feb. 15, 2002, Amended Nov. 19, 2006.
Wang et al. “An index structure for pattern similarity searching in DNA microarray data” Bioinformatics Conference 2002, Aug. 2002 pp. 256-267.

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