Data processing: structural design – modeling – simulation – and em – Simulating nonelectrical device or system – Biological or biochemical
Reexamination Certificate
2002-12-06
2010-10-05
Dejong, Eric S (Department: 1631)
Data processing: structural design, modeling, simulation, and em
Simulating nonelectrical device or system
Biological or biochemical
C702S020000, C435S004000
Reexamination Certificate
active
07809539
ABSTRACT:
A method for selecting node variables in a binary decision tree structure is provided. The binary decision tree is formed by mapping node variables to known outcome variables. The method calculates a statistical measure of the significance of each input variable in an input data set and then selects an appropriate node variable on which to base the structure of the binary decision tree using an averaged statistical measure of the input variable and any co-linear input variables of the data set.
REFERENCES:
patent: 5335291 (1994-08-01), Kramer et al.
patent: 5335346 (1994-08-01), Fabbio
patent: 5519319 (1996-05-01), Smith et al.
patent: 5650722 (1997-07-01), Smith et al.
patent: 5675253 (1997-10-01), Smith et al.
patent: 5701395 (1997-12-01), Stuckman et al.
patent: 5748508 (1998-05-01), Baleanu
patent: 5761442 (1998-06-01), Barr et al.
patent: 5941947 (1999-08-01), Brown et al.
patent: 6026397 (2000-02-01), Sheppard
patent: 6182070 (2001-01-01), Megiddo et al.
patent: 6189005 (2001-02-01), Chakrabarti et al.
patent: 6192360 (2001-02-01), Dumais et al.
patent: 6263334 (2001-07-01), Fayyad et al.
patent: 6286005 (2001-09-01), Cannon
patent: 6292798 (2001-09-01), Dockter et al.
patent: 6374292 (2002-04-01), Srivastava et al.
patent: 6453206 (2002-09-01), Soraghan et al.
patent: 6470079 (2002-10-01), Benson
patent: 6530081 (2003-03-01), Hayes, Jr.
patent: 6532467 (2003-03-01), Brocklebank et al.
patent: 6549861 (2003-04-01), Mark et al.
patent: 6594676 (2003-07-01), Moore
patent: 6601049 (2003-07-01), Cooper
patent: 6611726 (2003-08-01), Crosswhite
patent: 6625569 (2003-09-01), James et al.
patent: 6631212 (2003-10-01), Luo et al.
patent: 6650779 (2003-11-01), Vachtesvanos et al.
patent: 6675145 (2004-01-01), Yehia et al.
patent: 6678640 (2004-01-01), Ishida et al.
patent: 6928398 (2005-08-01), Fang et al.
patent: 6941289 (2005-09-01), Goodnight et al.
patent: 6954745 (2005-10-01), Rajan
patent: 6985779 (2006-01-01), Hsiung et al.
patent: 7010495 (2006-03-01), Samra et al.
patent: 7127466 (2006-10-01), Brocklebank et al.
patent: 7136871 (2006-11-01), Ozer et al.
patent: 7162461 (2007-01-01), Goodnight et al.
patent: 7171340 (2007-01-01), Brocklebank
patent: 7171411 (2007-01-01), Lewis et al.
patent: 7254547 (2007-08-01), Beck et al.
patent: 7340440 (2008-03-01), Goodnight et al.
patent: 7533038 (2009-05-01), Blume et al.
patent: 2002/0099952 (2002-07-01), Lambert et al.
patent: 2003/0110246 (2003-06-01), Byrne et al.
patent: 2003/0174178 (2003-09-01), Hodges
patent: 2004/0073475 (2004-04-01), Tupper
patent: 2004/0148409 (2004-07-01), Davis et al.
patent: 2004/0230829 (2004-11-01), Dogan et al.
patent: 2004/0254934 (2004-12-01), Ho et al.
patent: 2005/0154885 (2005-07-01), Viscomi et al.
patent: 2007/0240106 (2007-10-01), Manson et al.
patent: 0157706 (2001-08-01), None
Robbins “Information Infrastructure” IEEE Engineering in Medicine and Biology (1995), pp. 746-759.
Robbins “Representing Genomic Maps in a Relational Database” Computational Methods in Genome Research (1994), pp. 85-96.
Bingley et al. “Perspectives in Diabetes: Can We Really Predict IDDM” Diabetes, (1993), vol. 42, pp. 213-220.
Janikow, Cezary Z., “Fuzzy Decision Trees: Issues and Methods”, IEEE Transaction on Systems, Man, And Cybernetics- Part B: Cybernetics, vol. 28, No. 1, Feb. 1998, pp. 1-14.
Mingers, John, “An Empirical Comparison of Selection Measures for Decision-Tree Induction,” Machine Learning 3, pp. 319-342, 1989.
Aaker, David A. et al., “On Using Response Latency to Measure Preference”, Journal of Marketing Research, vol. XVII, pp. 237-244 [May 1980].
Bass, Frank M. et al., “Testing Distributed Lag Models of Advertising Effect”, Journal of Marketing Research, vol. IX, pp. 298-308 [Aug. 1972].
Blair, Margaret Henderson, “An Empirical Investigation of Advertising Wearin and Wearout”, Journal of Advertising Research, pp. 45-50 [Dec. 1987/ Jan. 1988].
Bradlow, Eric T. et al., “Subscale Distance and Item Clustering Effects in Surveys: A New Metric”, Journal of Marketing Research, vol. 38, No. 2, pp. 1-24 [May 2001].
Brause, Rudiger W., “Cascaded Vector Quantization by Non-linear PCA Network Layers”, IEEE, 1063-6730/94, pp. 154-160 [1994].
Brockwell, Peter J. et al., “Introduction to Time Series and Forecasting”, Spring Science+Business Media, Inc., pp. 112-116 [2002].
Cannon, Hugh M. et al., “Effective Reach and Frequency: Does It Really Make Sense?”, Journal of Advertising Research, pp. 19-28 [Mar./Apr. 1994].
Chan, Lipchen Alex et al., “Automatic Target Detection Using Dualband Infrared Imagery”, Acoustics, Speech, and Signal PICASSP '00 Proceedings, 2000 IEEE International Conference, vol. 6, pp. 2286-2289 [Jun. 5-9, 2000].
Chatterjee, Chanchal et al., “Self-Organizing Algorithms for Generalized Eigen-Decomposition”, IEEE Transactions on Neural Networks, vol. 8, No. 6, pp. 1518-1530 [Nov. 1997].
Chen, Qimei et al., “Attitude toward the Site”, Journal of Advertising Research, pp. 27-37 [Sep.-Oct. 1999].
Chen, Yupeng et al., “High Resolution Adaptive Bearing Estimation Using a Complex-Weighted Neural Network”, IEEE, pp. II-317-II-320 [1992].
Cheung, Natasha, “Outward bound: Should organisations be tempted by the option of outsourcing their CRM applications?”, Information Age, http://www.information-age.com/article/2001/july/outward—bound, 5 pp. [Jul. 13, 2001].
Christensen, Raymond P., “Efficient Use of Food Resources in the United States”, Technical Bulletin No. 963, pp. 42-45 [Oct. 1948].
Chung, Chanjin et al., “Determinants of Temporal Variations in Generic Advertising Effectiveness”, Agribusiness, vol. 16, No. 2, pp. 197-214 [2000].
Clarke, Darral G., “Econometric Measurement of the Duration of Advertising Effect on Sales”, Journal of Marketing Research, vol. XIII, pp. 345-357 [Nov. 1976].
Corkindale et al., “Advertising Thresholds and Wearout”, European Journal of Marketing, vol. 12, No. 5, pp. 329-350, 359-373 [1978].
Dawar, Niraj, “Extensions of Broad Brands: The Role of Retrieval in Evaluations of Fit”, Journal of Consumer Psychology, vol. 5, No. 2, pp. 189-207 [1996].
Dholakia, Utpal M. et al., “What makes commercial Web pages popular? An empirical investigation of Web page effectiveness”, European Journal of Marketing, vol. 32, No. 7/8, pp. 724-736 [1998].
Hu, The-Wei et al., “The State Antismoking Campaign and the Industry Response: The Effects of Advertising on Cigarette Consumption in California”, The American Economic Review, vol. 85, No. 2, Papers and Proceedings of the Hundredth and Seventh Annual Meeting of the American Economic Association Washington, DC Jan. 6-8, 1995, pp. 85-90 [May 1995].
Krishnamurthi, Lakshman et al., “Intervention Analysis of a Field Experiment to Assess the Buildup Effect of Advertising”, Journal of Marketing Research, vol. XXIII, pp. 337-345 [Nov. 1986].
Lee, Jonq-Ying et al., “Lag Structures in Commodity Advertising Research”, Agribusiness, vol. 8, No. 2, pp. 143-154 [1992].
Liu, Donald J. et al., “Generic Fluid Milk Advertising, Demand Expansion, and Supply Response: The Case of New York City”, Amer. J. Agr. Econ., pp. 229-236 [May 1988].
Mehrotra, Kishan et al., “Elements of Artificial Neural Networks”, MIT, pp. 11, 25, 71, 76, 85-87, 157, 170 and 171 [1997].
Pham, Michel Tuan et al., “Analyzing the Memory Impact of Advertising Fragments”, Marketing Letters, vol. 8, No. 4, pp. 407-417 [1997].
Pritchett, James G. et al., “Optimal Choice of Generic Milk Advertising Expenditures by Media Outlet”, Journal of Agricultural and Resource Economics, vol. 23, No. 1, pp. 155-169 [1998].
Simon, Julian L. et al., “The Shape of The Advertising Response Function”, Journal of Advertising Research, Vo. 20, No. 4, pp. 11-28 [Aug. 1980].
Tellis, G
Brocklebank John C.
Czika Wendy
Weir Bruce S.
Dejong Eric S
Jones Day
SAS Institute Inc.
LandOfFree
Method for selecting node variables in a binary decision... does not yet have a rating. At this time, there are no reviews or comments for this patent.
If you have personal experience with Method for selecting node variables in a binary decision..., we encourage you to share that experience with our LandOfFree.com community. Your opinion is very important and Method for selecting node variables in a binary decision... will most certainly appreciate the feedback.
Profile ID: LFUS-PAI-O-4179850