Data processing: database and file management or data structures – Database design – Data structure types
Reexamination Certificate
2004-08-27
2010-06-08
Channavajjala, Srirama (Department: 2166)
Data processing: database and file management or data structures
Database design
Data structure types
C707S600000, C707S810000
Reexamination Certificate
active
07734652
ABSTRACT:
An implementation of NMF functionality integrated into a relational database management system provides the capability to apply NMF to relational datasets and to sparse datasets. A database management system comprises a multi-dimensional data table operable to store data and a processing unit operable to perform non-negative matrix factorization on data stored in the multi-dimensional data table and to generate a plurality of data tables, each data table being smaller than the multi-dimensional data table and having reduced dimensionality relative to the multi-dimensional data table. The multi-dimensional data table may be a relational data table.
REFERENCES:
patent: 6151414 (2000-11-01), Lee et al.
patent: 6357041 (2002-03-01), Pingali et al.
patent: 6434544 (2002-08-01), Bakalash et al.
patent: 6629102 (2003-09-01), Malloy et al.
patent: 6633882 (2003-10-01), Fayyad et al.
patent: 6907427 (2005-06-01), Franz et al.
patent: 2002/0087516 (2002-07-01), Cras et al.
patent: 2002/0091681 (2002-07-01), Cras et al.
patent: 2003/0018604 (2003-01-01), Franz et al.
patent: 2005/0050087 (2005-03-01), Milenova et al.
patent: 2005/0262039 (2005-11-01), Kreulen et al.
patent: 2006/0136462 (2006-06-01), Campos et al.
patent: 2007/0050356 (2007-03-01), Amadio
patent: 2007/0076869 (2007-04-01), Mihcak et al.
patent: 2007/0112818 (2007-05-01), Sastry
patent: WO 00/65479 (2000-11-01), None
patent: WO 01/59602 (2001-08-01), None
patent: WO 02/03327 (2002-01-01), None
Daniel D Lee et al. “Algorithms for non-negative matrix factorization”, 2001, 1-7 pages.
Tatsushi Ooba, “Stability of multidimensional nonnegative systems”,Circuits systems signal process, vol. 19, No. 3, pp. 197-204.
Tao Feng et al. “local non-negative matrix factorization as a visual representation”, proceedings of the 2nd international conference on development and learning (ICDL'02), 2002, pp. 1-6.
Chenyong Hu1, et al. “Mining Ratio Rules Via Principal Sparse Non-Negative Matrix Factorization”, Proceedings of the Fourth IEEE International Conference on Data Mining (ICDM'04).
Xiaohong Guan et al. “Fast intrusion detection based on a non-negative matrix factorization model”, Journal of Network and Computer Applications 32 (2009) 31-44.
Campos Marcos M.
Jagannath Mahesh K.
Kuntala Pavani
McCracken Mark A.
Milenova Boriana L.
Channavajjala Srirama
Hanify & King, PC
Oracle International Corporation
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