Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2008-01-29
2008-01-29
Lu, Kuen S. (Department: 2167)
Data processing: database and file management or data structures
Database design
Data structure types
C707S793000, C707S793000
Reexamination Certificate
active
07325013
ABSTRACT:
A database includes a repository of data segments to be searched, called standard streams. But rather than searching all possible segments of each standard stream, the database includes a set of index files that reference a number of different segments in the repository. Each index file provides information about whether various data segments in the repository are likely to match a given test stream, although in the presence of noise there may be multiple possible matches. By consulting a number of the index files, a searching algorithm identifies a set of candidate data segments to test and thus reduces the number of streams that must be tested.
REFERENCES:
patent: 5546578 (1996-08-01), Takada
patent: 5550976 (1996-08-01), Henderson et al.
patent: 5706365 (1998-01-01), Rangarajan et al.
patent: 5918223 (1999-06-01), Blum et al.
patent: 6437227 (2002-08-01), Theimer
patent: 6678680 (2004-01-01), Woo
patent: 7043494 (2006-05-01), Joshi et al.
patent: 2002/0099691 (2002-07-01), Lore et al.
patent: 2003/0023421 (2003-01-01), Finn et al.
patent: 2004/0078364 (2004-04-01), Ripley et al.
Notification of International Search Report and Written Opinion, PCT/US05/12285, 10 pages.
Gionis, A., et al., “Similarity Search in High Dimensions via Hashing,” Proceedings of the 25th International Conference on Very Large Data Bases, 1999, pp. 518-529, Edinburgh, Scotland.
Kushilevitz, E, et al., “Efficient Search for Approximate Nearest Neighbors in High Dimensional Spaces,” Proceedings of the Thirtieth Annual ACM Symposium on the Theory of Computing, 1998, 18 pages.
Fenwick & West LLP
ID3MAN, Inc.
Lu Kuen S.
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