Megan R Thorsen

US Patent:

8200609, Jun 12, 2012

Filed:

Aug 29, 2008

Appl. No.:

12/201839

Inventors:

Stuart L. Crawford - Piedmont CA, US
Michael Steele - Michigan City IN, US
Prasun Kumar - Karnataka, IN
Sergei Tolmanov - Walnut Creek CA, US
Megan Thorsen - Sunnyvale CA, US
Chris Erickson - El Cerrito CA, US

Assignee:

Fair Isaac Corporation - Minneapolis MN

International Classification:

G06F 17/00
G06N 7/00
G06N 7/08

US Classification:

706 59

Abstract:

Data characterizing a plurality of related action graphs is received. Thereafter, the plurality of related action graphs are transformed into a logically equivalent structure so that rendering of the logically equivalent structure can be initiated. Related interfaces, apparatus, systems, techniques and articles are also described.

US Patent:

8266090, Sep 11, 2012

Filed:

Aug 29, 2008

Appl. No.:

12/201555

Inventors:

Stuart L. Crawford - Piedmont CA, US
Michael Steele - Michigan City IN, US
Navin Doshi - Karnataka, IN
Sergei Tolmanov - Walnut Creek CA, US
Kashyap Babu Rao Kolipaka - Karnataka, IN
Gaurav Chhaparwal - Rajasthan, IN
Megan Thorsen - Sunnyvale CA, US
Chris Erickson - El Cerrito CA, US

Assignee:

Fair Isaac Corporation - Minneapolis MN

International Classification:

G06F 9/44
G06N 7/02

US Classification:

706 52, 706 46, 706 45

Abstract:

A request to compare strategies is received. The first strategy can be graphically represented by a first set of linked nodes arranged in a first form of decision logic. The second strategy can be graphically represented by a second set of linked nodes arranged in a second form of decision logic. The first set of linked nodes can be converted to a first modified set of linked nodes arranged in a third form of decision logic. The second set of linked nodes can be converted to a second modified set of linked nodes arranged in the third form of decision logic. A color-coded visual representation of the first modified set of linked nodes and the second modified set of linked nodes can be provided to a user. Related apparatus, techniques, and articles are also described.

US Patent:

8312389, Nov 13, 2012

Filed:

Aug 29, 2008

Appl. No.:

12/201400

Inventors:

Stuart L. Crawford - Piedmont CA, US
Gaurav Chhaparwal - Rajasthan, IN
Navin Doshi - Karnataka, IN
Kashyap Babu Rao Kolipaka - Karnataka, IN
Sergei Tolmanov - Walnut Creed CA, US
Michael Steele - Michigan City IN, US
Megan Thorsen - Sunnyvale CA, US

Assignee:

Fair Isaac Corporation - Minneapolis MN

International Classification:

G06F 3/00
G06F 9/00
G06F 17/00

US Classification:

715854, 715853, 715969, 715763

Abstract:

Techniques for visualization of decision logic are provided. In one aspect, the techniques can be implemented by providing a control within a graphical user interface to a user. The control can display a plurality of graphical user interface elements corresponding to linked nodes within a hierarchical structure. An input identifying a selected graphical user interface element within the control can be generated by a user. A selected node within the hierarchical structure can be identified based on the selected graphical user interface element. In response to a request from a user, modifying an appearance of a subset of the linked nodes within the hierarchical structure based on a desired visualization criteria, the linked nodes within the hierarchical structure and the selected node.

US Patent:

20070118439, May 24, 2007

Filed:

Jan 19, 2007

Appl. No.:

11/625247

Inventors:

Shailesh Kumar - San Diego CA, US
Stuart Crawford - Piedmont CA, US
Sergei Tolmanov - Walnut Creek CA, US
Megan Thorsen - Sunnyvale CA, US
Helen Rosario - Austin TX, US
Ashutosh Joshi - San Diego CA, US
Victor Miagkikh - San Francisco CA, US
Colin Little - Emeryville CA, US

International Classification:

G06Q 30/00

US Classification:

705026000

Abstract:

A product space browser (PSB), which comprises a graphical user interface (GUI) that facilitates insight discovery through exploration and analysis of product space graphs generated by applying a product affinity engine to retailer's transaction data in a market basket context, is disclosed.

US Patent:

20070282699, Dec 6, 2007

Filed:

Oct 20, 2006

Appl. No.:

11/551683

Inventors:

Shailesh Kumar - San Diego CA, US
Megan Thorsen - Sunnyvale CA, US
Ashutosh Joshi - San Diego CA, US
Sergei Tolmanov - Walnut Creek CA, US
Helen Geraldine E. Rosario - Austin TX, US
Colin E. Little - Emeryville CA, US

International Classification:

G06Q 30/00

US Classification:

705 26

Abstract:

The invention provides a purchase sequence browser (PuSB), i.e. a graphical user interface (GUI) that facilitates insight discovery and exploration of product affinities across time, generated by a purchase sequence analysis of a retailer's transaction data. A purchase sequence browser allows the user to browse the most significant product phrases discovered by an exhaustive search of the product affinities across time; explore the retail grammar to create both forward and backward phrase trees or alternate purchase paths starting from, or ending in, a product; generate consistent purchase sequences given some constraints on the products and their order; and profile the value of a product across time with regard to other products fixed in time.

US Patent:

20090044279, Feb 12, 2009

Filed:

Jul 18, 2008

Appl. No.:

12/175858

Inventors:

Stuart L. Crawford - Piedmont CA, US
Chris Erickson - Michigan City IN, US
Victor Miagkikh - San Francisco CA, US
Michael Steele - Berkeley CA, US
Megan Thorsen - Sunnyvale CA, US
Sergei Tolmanov - Walnut Creek CA, US

Assignee:

Fair Isaac Corporation - Minneapolis MN

International Classification:

H04L 9/32
G06F 21/20

US Classification:

726 26

Abstract:

Fraud detection is facilitated by developing account cluster membership rules and converting them to database queries via an examination of clusters of linked accounts abstracted from the customer database. The cluster membership rules are based upon certain observed data patterns associated with potentially fraudulent activity. In one embodiment, account clusters are grouped around behavior patterns exhibited by imposters. The system then identifies those clusters exhibiting a high probability of fraud and builds cluster membership rules for identifying subsequent accounts that match those rules. The rules are designed to define the parameters of the identified clusters. When the rules are deployed in a transaction blocking system, when a rule pertaining to an identified fraudulent cluster is triggered, the transaction blocking system blocks the transaction with respect to new users who enter the website.