Predictive model generation

Details Predictive model generation Predictive model generation

2011-04-26

2011-04-26

Rodriguez, Paul L (Department: 2123)

Data processing: structural design, modeling, simulation, and em

Simulating electronic device or electrical system

Software program

C706S045000, C706S046000

Reexamination Certificate

active

07933762

ABSTRACT:
Models are generated using a variety of tools and features of a model generation platform. For example, in connection with a project in which a user generates a predictive model based on historical data about a system being modeled, the user is provided through a graphical user interface a structured sequence of model generation activities to be followed, the sequence including dimension reduction, model generation, model process validation, and model re-generation.Historical multi-dimensional data is received representing multiple variables transformed to be maximally predictive for at least one outcome variable to be used as an input to a predictive model of a commercial system, model development process is validated for at one or more sets of such variables and enabling a user of a model generation tool to combine at least two of the variables from the sets of variables.

REFERENCES:
patent: 5491629 (1996-02-01), Fox et al.
patent: 5583763 (1996-12-01), Atcheson et al.
patent: 5592560 (1997-01-01), Deaton et al.
patent: 5621812 (1997-04-01), Deaton et al.
patent: 5692107 (1997-11-01), Simoudis et al.
patent: 5701400 (1997-12-01), Amado
patent: 5826250 (1998-10-01), Trefler
patent: 6026397 (2000-02-01), Sheppard
patent: 6185543 (2001-02-01), Galperin et al.
patent: 6269325 (2001-07-01), Lee et al.
patent: 6317752 (2001-11-01), Lee et al.
patent: 6321205 (2001-11-01), Eder
patent: 6381504 (2002-04-01), Havener et al.
patent: 6430539 (2002-08-01), Lazarus et al.
patent: 6542894 (2003-04-01), Lee et al.
patent: 6556977 (2003-04-01), Lapointe et al.
patent: 6567812 (2003-05-01), Garrecht et al.
patent: 6631360 (2003-10-01), Cook
patent: 6640215 (2003-10-01), Galperin et al.
patent: 6684208 (2004-01-01), Kil et al.
patent: 6687696 (2004-02-01), Hofmann et al.
patent: 6782390 (2004-08-01), Lee et al.
patent: 6807535 (2004-10-01), Goodkovsky
patent: 6820070 (2004-11-01), Goldman et al.
patent: 6836773 (2004-12-01), Tamayo et al.
patent: 6839682 (2005-01-01), Blume et al.
patent: 6859529 (2005-02-01), Duncan et al.
patent: 6879971 (2005-04-01), Keeler et al.
patent: 6952688 (2005-10-01), Goldman et al.
patent: 6954758 (2005-10-01), O'Flaherty
patent: 6956941 (2005-10-01), Duncan et al.
patent: 7043461 (2006-05-01), Kedher et al.
patent: 7047251 (2006-05-01), Reed et al.
patent: 7349827 (2008-03-01), Heller et al.
patent: 7499897 (2009-03-01), Pinto et al.
patent: 7562058 (2009-07-01), Pinto et al.
patent: 7725300 (2010-05-01), Pinto et al.
patent: 7730003 (2010-06-01), Pinto et al.
patent: 2002/0052836 (2002-05-01), Galperin et al.
patent: 2002/0123923 (2002-09-01), Manganaris et al.
patent: 2002/0127529 (2002-09-01), Cassato et al.
patent: 2003/0004777 (2003-01-01), Phillips
patent: 2003/0018601 (2003-01-01), Lee et al.
patent: 2003/0088565 (2003-05-01), Walter et al.
patent: 2003/0154442 (2003-08-01), Papierniak
patent: 2003/0171829 (2003-09-01), Fisher et al.
patent: 2003/0212678 (2003-11-01), Bloom et al.
patent: 2004/0002833 (2004-01-01), Tang et al.
patent: 2004/0030667 (2004-02-01), Xu et al.
patent: 2004/0111314 (2004-06-01), Cavaretta
patent: 2005/0004786 (2005-01-01), Thomason
patent: 2005/0089768 (2005-04-01), Tanaka et al.
patent: 2005/0096950 (2005-05-01), Caplan et al.
patent: 2005/0234697 (2005-10-01), Pinto et al.
patent: 2005/0234698 (2005-10-01), Pinto et al.
patent: 2005/0234753 (2005-10-01), Pinto et al.
patent: 2005/0234760 (2005-10-01), Pinto et al.
patent: 2005/0234761 (2005-10-01), Pinto et al.
patent: 2005/0234762 (2005-10-01), Pinto et al.
patent: 2005/0234763 (2005-10-01), Pinto et al.
patent: 2006/0161403 (2006-07-01), Jiang et al.
patent: 2010/0010878 (2010-01-01), Pinto et al.
patent: 2241119 (2002-03-01), None
patent: 1 085 429 (2001-03-01), None
patent: WO 99/22328 (1999-05-01), None
patent: WO 02/019061 (2002-07-01), None
patent: WO 03/005232 (2003-01-01), None
PCT/US05/11749, Nov. 2, 2006, PCT ISR.
Harrison, H.C., “An Intelligent Business Forecasting System,” ACM May 1993, pp. 229-236.
Haughton et al., “A Review of Software Packages for Data Mining,” The American Statistician, Nov. 2003, vol. 57, No. 5, pp. 290-309.
Angus, Enterprise Miner 5.1 Digs Into Data, InforWorld, Aug. 9, 2004, vol. 26, No. 32, pp. 22-23.
Chapman et al., CRISP-DM 1.0 Step-by-Step Data Mining Guide, Aug. 2000, pp. 27-31, 53-59, 71-79.
Cabena et al., Intelligent Miner for Data Applications Guide, IBM Redbook, SG24-5252-00, Mar. 1999, pp. 9-17, 27-35, 69-77, 87-108, 111-128.
Schikora et al., Efficacy of End-User Neural Network and Data Mining Software for Predicting Complex System Performance, International Journal of Production Economics, vol. 84, pp. 231-253, Jun. 2003.
Bhattacharyya , Evolutionary Algorithms in Data Mining: Multi-Objective Performance Modeling for Direct Marketing, Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 465-473, Aug. 2000.
Pearce et al., Experimentation and Self Learning in Continuous Database Marketing, IEEE International Conference on Data Mining, pp. 775-778, Dec. 2002.
Etzion 'et al., e-CLV: A Modeling Approach for Customer Lifetime Evaluation in e-Commerce Domains, With an Application and Case Study for Online Auctions, IEEE International Conference on e-Technology, e-Commerce and e-Service, pp. 149-156, Mar. 2004.
Clifford C. Clogg, et al., “Multiple Imputation of Industry and Occupation Codes in Census Public-Use Samples Using Bayesian Logistic Regression”,Journal of the American Statistical Association, vol. 86, No. 413, pp. 68-78 (Mar. 1991).
Roderick J.A. Little et al.,Statistical Analysis with Missing Data(2ndEdition), John J. Wiley & Sons, Inc., (2002), pp. 19-22; 166-188; and 292-309.
Donald B. Rubin, “Using Empirical Bayes Techniques in the Law School Validity Studies”,Journal of the American Statistical Association, vol. 75, No. 372, pp. 801-816 (Dec. 1980).
“Clementine®: Quickly turn data into better business Results”, SPSS, Inc., 2004.
Caron et al. “On-line Seminar: How to keep customers and increase profits using predictive analytics powered by Clementine”, SPSS, Inc., 2003.
“Enterprise Miner™”, SAS Institute, Inc., 2003.
“JMP 5 for Windows and Macintosh”, SAS Institute, Inc., 2003.
Bounsaythip and Rinta-Runsala “Overview of Data Mining for Customer Behavior Modeling”—Finland: VTT Information Technology, Research Report TTE 1-18 (2001).
Transaction History and Current Pending Claims for U.S. Appl. No. 10/826,452, filed Apr. 16, 2004.
Transaction History and Current Pending Claims for U.S. Appl. No. 10/826,711, filed Apr. 16, 2004.
Transaction History and Current Pending Claims for U.S. Appl. No. 10/826,950, filed Apr. 16, 2004.
Transaction History and Current Pending Claims for U.S. Appl. No. 10/826,949, filed Apr. 16, 2004.
Transaction History and Current Pending Claims for U.S. Appl. No. 10/826,624, filed Apr. 16, 2004.
Transaction History and Current Pending Claims for U.S. Appl. No. 10/826,947, filed Apr. 16, 2004.
Transaction History and Current Pending Claims for U.S. Appl. No. 10/826,453, filed Apr. 16, 2004.
Tashman, “Automatic Forecasting Software: A Survey and Evaluation,”International Journal of Forecasting, 7(2) (1991).
Wang et al., “An Expert System for Forecasting Model Selection,”IEEE(1992).
New technology Card News, 10(6) (Apr. 3, 1995).
Pinto, “Smart Data Use Can Improve Bank Insurance Marketing National Underwriter,” 106(20) (Jul. 2002).
Autobox 5.0 for Windows—User's Guide,Automatic Forecasting Systems, Inc. (Dec. 10, 1999).
SmartSoftware Web Pages (www.smartcorp.com),Smart Software Inc., (Jul. 2001) (Retrieved from Archive.org Dec. 20, 2005).
ForecastPro Product Brochure (www.forecastpro.com),Business Forecasting Systems(2000), (Retrieved from Archive.org Dec. 20, 2005).
Transaction History for U.S. Appl. No. 10/826,711, filed Apr. 16, 2004.
Transaction History for U.S. Appl. No. 10/826,950, filed Apr. 16, 2004.
Transaction History for U.S. Appl. No. 10/826,949,

Affiliated with

Also associated with

Rating

Predictive model generation does not yet have a rating. At this time, there are no reviews or comments for this patent.

If you have personal experience with Predictive model generation, we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Predictive model generation will most certainly appreciate the feedback.

Rate now

Comments { 0 }

Profile ID: LFUS-PAI-O-2709079