Characterizing relationships among procedures using similarity metrics

US8219415B2 · kind B2 · utility

Assignee

• Fair Isaac Corporation · US

Inventors

• Michael Tyler · San Diego, US
• Moiz Saifee · Ujjain, IN
• Nitin Basant · Kuju, IN
• Shafi Ur Rahman · San Diego, US

Key dates

• Filing date: Mar 27, 2008
• Grant date: Jul 10, 2012
• Expiry date: Nov 21, 2029

Classification

• Technology area (CPC G): Physics
• CPC primary: G16H10/60
• WIPO field: IT methods for management
• WIPO sector: Electrical engineering

Abstract

Data is received that characterizes a plurality of procedures for a single event. Thereafter, one or more dynamically determined groups are associated with the plurality of procedures, the dynamically determined groups being generated from similarity metrics derived from a plurality of historical procedures for a plurality of historical events. A likelihood of the plurality of procedures being associated with the single event can then be determined based on the associated one or more dynamically determined groups. This determined likelihood can be used to determine whether the data is indicative of fraud. Related apparatus, systems, techniques and articles are also described.