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.

Date of Patent:
Apr. 27, 2010

Filed:

Jun. 13, 2005
Applicants:

Joseph Kevin Anzalone, Lake in the Hills, IL (US);

Nevzat Hurkan Balkir, Hoffman Estates, IL (US);

Len Cavers, Villa Park, CA (US);

Brian L. Foreman, Lincoln, NE (US);

Inventors:

Joseph Kevin Anzalone, Lake in the Hills, IL (US);

Nevzat Hurkan Balkir, Hoffman Estates, IL (US);

Len Cavers, Villa Park, CA (US);

Brian L. Foreman, Lincoln, NE (US);

Assignee:

Experian Marketing Solutions, Inc., Schaumburg, IL (US);

Attorneys:
Primary Examiner:
Int. Cl.
CPC ...
G06F 17/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

The various embodiments of the invention provide software and metadata structures for a data processing system and method, for applications such as marketing campaign management, speech recognition and signal processing. An exemplary system embodiment includes a first data repository adapted to store a plurality of entity and attribute data; a second data repository adapted to store a plurality of entity linkage data; a metadata data repository adapted to store a plurality of metadata modules, with a first metadata module having a plurality of selectable parameters, received through a control interface, and having a plurality of metadata linkages to a first subset of metadata modules; and a multidimensional data structure. The control interface may modify the plurality of selectable parameters in response to received control information. A plurality of processing nodes are adapted to use the plurality of selectable parameters to assemble a first plurality of data from the first and second data repositories and from input data, to reduce the first plurality of data to form a second plurality of data, and to aggregate and dimension the second plurality of data for storage in the multidimensional data structure.


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