Data processing: financial – business practice – management – or co – Automated electrical financial or business practice or... – Finance
Reexamination Certificate
2007-10-04
2011-10-04
Kalinowski, Alexander (Department: 3691)
Data processing: financial, business practice, management, or co
Automated electrical financial or business practice or...
Finance
Reexamination Certificate
active
08032448
ABSTRACT:
Computer implemented methods and systems of processing transactions to determine the risk of transaction convert high categorical information, such as text data, to low categorical information, such as category or cluster IDs. The text data may be merchant names or other textual content of the transactions, or data related to a consumer, or any other type of entity which engages in the transaction. Content mining techniques are used to provide the conversion from high to low categorical information. In operation, the resulting low categorical information is input, along with other data, into a statistical model. The statistical model provides an output of the level of risk in the transaction. Methods of converting the high categorical information to low categorical clusters, of using such information, and other aspects of the use of such clusters are disclosed.
REFERENCES:
patent: 5317507 (1994-05-01), Gallant
patent: 5325298 (1994-06-01), Gallant
patent: 5619709 (1997-04-01), Caid et al.
patent: 5649114 (1997-07-01), Deaton et al.
patent: 5819226 (1998-10-01), Gopinathan et al.
patent: 5878419 (1999-03-01), Carter
patent: 5940822 (1999-08-01), Haderfe et al.
patent: 6006223 (1999-12-01), Agrawal et al.
patent: 6018723 (2000-01-01), Siegel et al.
patent: 6026397 (2000-02-01), Sheppard
patent: 6073112 (2000-06-01), Geerlings
patent: 6134532 (2000-10-01), Lazarus et al.
patent: 6189005 (2001-02-01), Chakrabarti et al.
patent: 6430539 (2002-08-01), Lazarus et al.
patent: 6505168 (2003-01-01), Rothman et al.
patent: WO0113295 (2001-02-01), None
Business Wire 1998, “Aptex Software Announces SelectResponse 3.0 for Personalized Customer Interaction and Response”; p. 0408, Nov. 2, 1998, San Diego.
Mutch, John, “High tech has big impact on claim handling”, v103n20, pp. 20-21+, May 17, 1999, ISSN: 1042-6841. Journal Code: NUN.
Johnson, Colin R. “Web Engines Get a Brain”, Electronic Engineering Times, p. 20, Feb. 25, 1998, ISSN: 0192-1541.
U.S. Appl. No. 10/638,648, filed Aug. 12, 2003, Anderson, et al.
Salton, G. et al.; A Vector Space Model for Automatic Indexing; Communications of the ACM, vol. 18, No. 11, Nov. 1975.
Sutcliffe, Richard; Distributed representations in a Text Based Information retrieval System: a New Way of Using the vector Space Model; Dept. of Computer Science; 1991.
Wong, S. et al.; On Modeling of information retrieval Concepts in Vector Spaces; University of Regina; 1987; ACM.
Anderson Russell
Baker James C.
Dulany Paul C.
Dungca Ricardo M.
Hassibi Khosrow M.
Chang Edward
Fair Isaac Corporation
Kalinowski Alexander
Mintz Levin Cohn Ferris Glovsky and Popeo P.C.
LandOfFree
Detecting and measuring risk with predictive models using... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Detecting and measuring risk with predictive models using..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Detecting and measuring risk with predictive models using... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4254208