The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jul. 12, 2016
Filed:
Jan. 31, 2008
Herbert Dennis Hunt, San Francisco, CA (US);
John Randall West, Sunnyvale, CA (US);
Marshall Ashby Gibbs, Jr., Clarendon Hills, IL (US);
Bradley Michael Griglione, Lake Zurich, IL (US);
Gregory David Neil Hudson, Riverside, IL (US);
Andrea Basilico, Lomazzo, IT;
Arvid Conrad Johnson, Frankfort, IL (US);
Cheryl G. Bergeon, Arlington Heights, IL (US);
Craig Joseph Chapa, Lake Barrington, IL (US);
Alberto Agostinelli, Trezzo sull'Adda, IT;
Jay Alan Yusko, Lombard, IL (US);
Trevor Mason, Bolingbrook, IL (US);
Herbert Dennis Hunt, San Francisco, CA (US);
John Randall West, Sunnyvale, CA (US);
Marshall Ashby Gibbs, Jr., Clarendon Hills, IL (US);
Bradley Michael Griglione, Lake Zurich, IL (US);
Gregory David Neil Hudson, Riverside, IL (US);
Andrea Basilico, Lomazzo, IT;
Arvid Conrad Johnson, Frankfort, IL (US);
Cheryl G. Bergeon, Arlington Heights, IL (US);
Craig Joseph Chapa, Lake Barrington, IL (US);
Alberto Agostinelli, Trezzo sull'Adda, IT;
Jay Alan Yusko, Lombard, IL (US);
Trevor Mason, Bolingbrook, IL (US);
Information Resources, Inc., Chicago, IL (US);
Abstract
Systems and methods are presented that may involve receiving a causal fact dataset including facts relating to items perceived to cause actions, wherein the causal fact dataset includes a data attribute that is associated with a causal fact datum. It may also involve pre-aggregating a plurality of the combinations of a plurality of causal fact data and associated data attributes in a causal bitmap. It may also involve selecting a subset of the pre-aggregated combinations based on suitability of a combination for the analytic purpose. It may also involve storing the subset of pre-aggregated combinations to facilitate querying of the subset.