Patent · US Active

Method and system to predict the likelihood of topics

US9165254B2 · kind B2 · utility

3Cited by

12References

29Claims

0Family size

Assignee

Aptima, Inc. · US

Inventors

Andrew P. Duchon · Newton, US
Robert McCormack · Somerville, US
William J. Salter · Harvard, US
Paul David Allopenna · Storrs, US
Shawn Weil · Melrose, US
John Colonna-Romano · Stow, US
David Kramer · Dearborn, US

Key dates

Filing date	Jan 13, 2009
Grant date	Oct 20, 2015
Priority date	—
Expiry date	Mar 29, 2030

Classification

Technology area (CPC G)Physics
CPC primaryG06Q10/10
WIPO fieldComputer technology
WIPO sectorElectrical engineering

Abstract

The present invention relate to a method and system to predict the likelihood of data topics that may occur from data sources. The likelihood of the data topics may be predicted over other dimensions of time or over other dimensions. In the present invention, a topic means a defining characteristic, usually represented as a data element, of a single feature, activity, subject, behavior, event or an aggregation of such defining characteristics.

Source: USPTO / EPO open patent data. Objective bibliographic and citation counts.