Data processing: structural design – modeling – simulation – and em – Modeling by mathematical expression
Reexamination Certificate
2011-08-30
2011-08-30
Frejd, Russell (Department: 2128)
Data processing: structural design, modeling, simulation, and em
Modeling by mathematical expression
C703S022000, C702S181000, C702S189000
Reexamination Certificate
active
08010324
ABSTRACT:
Computer-implemented systems and methods for processing time series data that is indicative of a data generation activity occurring over a period of time. A model specification hierarchical data structure is used for storing characteristics that define a time series model. A fitted model hierarchical data structure stores characteristics that define a fitted time series model. The characteristics of the fitted time series model are defined through an application of the time series model to the time series data.
REFERENCES:
patent: 5991740 (1999-11-01), Messer
patent: 5995943 (1999-11-01), Bull et al.
patent: 6052481 (2000-04-01), Grajski et al.
patent: 6128624 (2000-10-01), Papierniak et al.
patent: 6151584 (2000-11-01), Papierniak et al.
patent: 6169534 (2001-01-01), Raffel et al.
patent: 6189029 (2001-02-01), Fuerst
patent: 6208975 (2001-03-01), Bull et al.
patent: 6216129 (2001-04-01), Eldering
patent: 6230064 (2001-05-01), Nakase et al.
patent: 6286005 (2001-09-01), Cannon
patent: 6308162 (2001-10-01), Ouimet et al.
patent: 6317731 (2001-11-01), Luciano
patent: 6334110 (2001-12-01), Walter et al.
patent: 6356842 (2002-03-01), Intriligator et al.
patent: 6397166 (2002-05-01), Leung et al.
patent: 6400853 (2002-06-01), Shiiyama
patent: 6526405 (2003-02-01), Mannila et al.
patent: 6539392 (2003-03-01), Rebane
patent: 6542869 (2003-04-01), Foote
patent: 6564190 (2003-05-01), Dubner
patent: 6591255 (2003-07-01), Tatum et al.
patent: 6611726 (2003-08-01), Crosswhite
patent: 6640227 (2003-10-01), Andreev
patent: 6735738 (2004-05-01), Kojima
patent: 6775646 (2004-08-01), Tufillaro et al.
patent: 6792399 (2004-09-01), Phillips et al.
patent: 6850871 (2005-02-01), Barford et al.
patent: 6878891 (2005-04-01), Josten et al.
patent: 6928398 (2005-08-01), Fang et al.
patent: 6978249 (2005-12-01), Beyer et al.
patent: 7072863 (2006-07-01), Phillips et al.
patent: 7103222 (2006-09-01), Peker
patent: 7171340 (2007-01-01), Brocklebank
patent: 7194434 (2007-03-01), Piccioli
patent: 7216088 (2007-05-01), Chappel et al.
patent: 7222082 (2007-05-01), Adhikari et al.
patent: 7236940 (2007-06-01), Chappel
patent: 7251589 (2007-07-01), Crowe et al.
patent: 7260550 (2007-08-01), Notani
patent: 7280986 (2007-10-01), Goldberg et al.
patent: 7433834 (2008-10-01), Joao
patent: 7523048 (2009-04-01), Dvorak
patent: 7530025 (2009-05-01), Ramarajan et al.
patent: 7565417 (2009-07-01), Rowady, Jr.
patent: 7570262 (2009-08-01), Landau et al.
patent: 7610214 (2009-10-01), Dwarakanath et al.
patent: 7617167 (2009-11-01), Griffis et al.
patent: 7702482 (2010-04-01), Graepel et al.
patent: 2002/0169657 (2002-11-01), Singh et al.
patent: 2003/0101009 (2003-05-01), Seem
patent: 2003/0105660 (2003-06-01), Walsh et al.
patent: 2003/0110016 (2003-06-01), Stefek et al.
patent: 2003/0154144 (2003-08-01), Pokorny et al.
patent: 2003/0187719 (2003-10-01), Brocklebank
patent: 2003/0200134 (2003-10-01), Leonard et al.
patent: 2004/0172225 (2004-09-01), Hochberg et al.
patent: 2005/0102107 (2005-05-01), Porikli
patent: 2005/0177351 (2005-08-01), Goldberg et al.
patent: 2005/0209732 (2005-09-01), Audimoolam et al.
patent: 2005/0249412 (2005-11-01), Radhakrishnan et al.
patent: 2006/0063156 (2006-03-01), Willman et al.
patent: 2006/0064181 (2006-03-01), Kato
patent: 2006/0085380 (2006-04-01), Cote et al.
patent: 2006/0112028 (2006-05-01), Xiao et al.
patent: 2006/0143081 (2006-06-01), Argaiz
patent: 2006/0241923 (2006-10-01), Xu et al.
patent: 2006/0247900 (2006-11-01), Brocklebank
patent: 2007/0162301 (2007-07-01), Sussman et al.
patent: 2007/0291958 (2007-12-01), Jehan
patent: 2008/0294651 (2008-11-01), Masuyama et al.
Oates, Tim et al., “Clustering Time Series with Hidden Markov Models and Dynamic Time Warping”, Computer Science Department, LGRC University of Massachusetts, In Proceedings of the IJCAI-99, 5 pp. (1999).
Choudhury, J. Paul et al., “Forecasting of Engineering Manpower Through Fuzzy Associative Memory Neural Network with Arima: A Comparative Study”, Neurocomputing, vol. 47, Iss. 1-4, pp. 241-257 (Aug. 2002).
Harrison, H.C. et al., “An Intelligent Business Forecasting System”, ACM Annual Computer Science Conference, pp. 229-236 (1993).
Jacobsen, Erik et al., “Assigning Confidence to Conditional Branch Predictions”, IEEE, Proceedings of the 29th Annual International Symposium on Microarchitecture, 12 pp. (Dec. 2-4, 1996).
Keogh, Eamonn J. et al., “Derivative Dynamic Time Warping”, In First SIAM International Conference on Data Mining (SDM'2001), Chicago, USA, pp. 1-11 (2001).
Abstract, Kobbacy, Khairy A.H., et al., “Towards the development of an intelligent inventory management system”, Integrated Manufacturing Systems, vol. 10, Issue 6, 1999 (11 pp.).
Kumar, Mahesh, “Combining Forecasts Using Clustering”, Rutcor Research Report 40-2005, cover page and pp. 1-16 (Dec. 2005).
Leonard, Michael, “Promotional Analysis and Forecasting for Demand Planning: A Practical Time Series Approach”, with exhibits 1 and 2, SAS Institute Inc., Cary, North Carolina, 50 pp. (2000).
Leonard, Michael, “Large-Scale Automatic Forecasting: Millions of Forecasts”, abstract and presentation, International Symposium of Forecasting, 156 pp. (2002).
Leonard, Michael et al., “Mining Transactional and Time Series Data”, abstract and presentation, International Symposium of Forecasting, 23 pp. (2003).
Leonard, Michael, “Large-Scale Automatic Forecasting Using Inputs and Calendar Events”, abstract and presentation, International Symposium on Forecasting Conference, 56 pp. (Jul. 4-7, 2004).
Leonard, Michael, “Predictive Modeling Markup Language for Time Series Models”, abstract and presentation, International Symposium on Forecasting Conference, 35 pp. (Jul. 4-7, 2004).
Leonard, Michael et al., “Mining Transactional and Time Series Data”, abstract, presentation and paper, SUGI, 142 pp. (Apr. 10-13, 2005).
Leonard, Michael, “Large-Scale Automatic Forecasting Using Inputs and Calendar Events”, White Paper, pp. 1-27 (2005).
Lu, Sheng et al., “A New Algorithm for Linear and Nonlinear ARMA Model Parameter Estimation Using Affine Geometry”, IEEE Transactions on Biomedical Engineering, vol. 48, No. 10, pp. 1116-1124 (Oct. 2001).
Malhotra, Manoj K. et al., “Decision making using multiple models”, European Journal of Operational Research, 114, pp. 1-14 (1999).
McQuarrie, Allan D.R. et al., “Regression and Time Series Model Selection”, World Scientific Publishing Co. Pte. Ltd., 40 pp. (1998).
Abstract, Park, Kwan Hee, “Development and evaluation of a prototype expert system for forecasting models”, Mississippi State University, 1990 (1 pg.).
Abstract, Tashman, Leonard J. et al., “Automatic Forecasting Software: A Survey and Evaluation”, International Journal of Forecasting, vol. 7, Issue 2, Aug. 1991 (1 pg.).
van Wijk, Jarke J. et al., “Cluster and Calendar based Visualization of Time Series Data”, IEEE Symposium on Information Visualization (INFOVIS '99), San Francisco, pp. 1-6 (Oct. 25-26, 1999).
Wang, Liang et al., “An Expert System for Forecasting Model Selection”, IEEE, pp. 704-709 (1992).
Product Brochure, ForecastPRO, 2000 (12 pp.).
Automatic Forecasting Systems Inc., Autobox 5.0 for Windows User's Guide, 82 pp. (1999).
Quest Software, “Funnel Web Analyzer: Analyzing the Way Visitors Interact with Your Web Site”, http://www.quest.com/funnel—web/analyzer (2 pp.), Mar. 2002.
Funnel Web Web site Analysis Report, Funnel Web Demonstration, Clients History, http://www/quest.com/funnel—web/analyzer/sample.ClientHist.html (2 pp.), Mar. 2002.
Funnel Web Web site Analysis. Report, Funnel Web Demonstration, Authenticated Users History, http://www.quest.com/funnel—web/analyzer/sample/UserHist.html (1 pg.), Mar. 2002.
SAS Institute Inc., SAS/ETS User's Guide, Version 8, pp. 577-631 and 1307-1323 (1999).
“Data Mining Group”,
Crowe Keith E.
Leonard Michael J.
Frejd Russell
Jones Day
SAS Institute Inc.
LandOfFree
Computer-implemented system and method for storing data... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Computer-implemented system and method for storing data..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Computer-implemented system and method for storing data... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-2747439