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:
Jun. 08, 2010

Filed:

Oct. 25, 2007
Applicants:

Feng-wei Chen Russell, Cary, NC (US);

Ameet M. Kini, Sterling, VA (US);

John A. Medicke, Jr., Raleigh, NC (US);

Betsy M. Plunket, Raleigh, NC (US);

Ashish Sureka, Raleigh, NC (US);

Inventors:

Feng-wei Chen Russell, Cary, NC (US);

Ameet M. Kini, Sterling, VA (US);

John A. Medicke, Jr., Raleigh, NC (US);

Betsy M. Plunket, Raleigh, NC (US);

Ashish Sureka, Raleigh, NC (US);

Attorney:
Primary Examiner:
Int. Cl.
CPC ...
G06F 7/00 (2006.01); G06F 17/00 (2006.01);
U.S. Cl.
CPC ...
Abstract

A computerized method, system and program product for generating a data mining model. A user can provide objectives for the model and sample data to train, validate, and test the model. A rules system can automatically select a set of algorithms based on the objectives and/or sample data. A plurality of datasets can also be created from the sample data. Using the datasets, the set of algorithms can be optimized for the particular data on which it is intended to be used. The data mining model can then be generated from the optimized set of algorithms.


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