Using neural networks for data mining

Details Using neural networks for data mining Using neural networks for data mining

2008-01-22

2008-01-22

Starks, Jr., Wilbert L (Department: 2129)

Data processing: artificial intelligence

Machine learning

C706S047000, C706S016000, C717S121000

Reexamination Certificate

active

10760511

ABSTRACT:
A data mining system and method are provided. The system includes at least one client and a service broker configured to include an interface to receive a consultation request from the client. The service broker forwards the consultation request to a Neugent to invoke a consultation of the Neugent, and forwards to the client a result object returned by the Neugent.

REFERENCES:
patent: 4193115 (1980-03-01), Albus
patent: 4215396 (1980-07-01), Henry et al.
patent: 4438497 (1984-03-01), Willis et al.
patent: 4649515 (1987-03-01), Thompson et al.
patent: 4663703 (1987-05-01), Axelby et al.
patent: 4670848 (1987-06-01), Schramm
patent: 4740886 (1988-04-01), Tanifuji et al.
patent: 4754410 (1988-06-01), Leech et al.
patent: 4858147 (1989-08-01), Conwell
patent: 4928484 (1990-05-01), Peczkowski
patent: 4972363 (1990-11-01), Nguyen et al.
patent: 4979126 (1990-12-01), Pao et al.
patent: 4994982 (1991-02-01), Duranton et al.
patent: 5023045 (1991-06-01), Watanabe et al.
patent: 5052043 (1991-09-01), Gaborski
patent: 5111531 (1992-05-01), Grayson et al.
patent: 5113483 (1992-05-01), Keeler et al.
patent: 5119648 (1992-06-01), Bertucci et al.
patent: 5140523 (1992-08-01), Frankel et al.
patent: 5142612 (1992-08-01), Skeirik
patent: 5175678 (1992-12-01), Frerichs et al.
patent: 5175797 (1992-12-01), Funabashi et al.
patent: 5247445 (1993-09-01), Miyano et al.
patent: 5311421 (1994-05-01), Nomura et al.
patent: 5335291 (1994-08-01), Kramer et al.
patent: 5349541 (1994-09-01), Alexandro et al.
patent: 5485390 (1996-01-01), LeClair et al.
patent: 5734796 (1998-03-01), Pao
patent: 5848402 (1998-12-01), Pao et al.
patent: 6134537 (2000-10-01), Pao et al.
patent: 6236942 (2001-05-01), Bush
patent: 6327550 (2001-12-01), Vinberg et al.
patent: 6496812 (2002-12-01), Campaigne et al.
patent: 6697791 (2004-02-01), Hellerstein et al.
patent: 6759010 (2004-07-01), Lewis et al.
patent: 7103874 (2006-09-01), McCollum et al.
Neugents Are on The Loose, The E-Business Adviser, Apr./May 2000, at 1.
Raisinghani, et al, An Automated Executive and Managerial Performance Monitoring, Measurement and Reporting System, Journal of Electronic Commerce Research, vol. 2, No. 1, 2001, pp. 23-31.
Computer Associates, Office of the CTO, White Paper: Comprehensive eBusiness Intelligence, Nov. 26, 2001, pp. 1-10.
Surajit Chaudhuri, Usama Fayyad and Jeff Bernhardt, “Scalable Classification over SQL Databases”, Proceedings of the 15thInternational Conference on Data Engineering, Mar. 23-26, 1999, Sidney, Australia, pp. 470-479.
Dennis T. Lee, Yoh-Han Pao and Dejan J. Sobajic “Dynamic System Control Using Neural Networks”, pp. 25-30.
Yoh-Han Pao “Neural Net Computing For Patter Recognition”Handbook of Pattern Recognition, and Computer Vision, pp. 125-162 (edited by C.H. Chen, L.F. Pau and P.S.P. Wang).
Bernard Widrow, Narendra K. Gupta, and Sidhartha Maitra (Sep. 1973) “Punish/Reward: Learning With a Critic in Adaptive Threshold Systems”,IEEE Trans. Systems, Man and Cybernetics, vol. SMC-3, No. 5, pp. 455-465.
John A. Hartigan, (1975) “Interpretation and Evaluation of Clusters”,Clustering Algorithms, pp. 12-14.
Yoh-Han Pao and Dejan J. Sobajic (1987) “Metric Synthesis and Concept Discovery With Connectionist Networks”,1987 IEEE, pp. 390-395.
Bernard Widrow and Rodney Winter (Mar. 1988) “Neural Nets for Adaptive Filtering and Adaptive Pattern Recognition”,IEEE Computer, pp. 25-39.
Bernard Widrow, Rodney G. Winter, and Robert A. Baxter (Jul. 1988) “Layered Neural Nets for Pattern Recognition”,IEEE Trans. Acoustics, Speech, and Signal Processing, vol. 36, No. 7, pp. 1109-1118.
Yoh-Han Pao, (1989)Adaptive Pattern Recognition and Neural Networks.
Andrew G. Barto (1990) “Connectionist Learning for Control”,Neural Networks for Control, pp. 5-58 (edited by W. Thomas Miller, III, Richard S. Sutton and Paul J. Werbos).
R.D. Coyne and A.G. Postmus (1990) “Spatial Applications of Neural Networks in Computer-aided Design”,Artificial Intelligence in Engineering, 5(1):9-22.
Kumpati S. Narendra and Kannan Parthasarathy (Mar. 1990) “Identification and Control of Dynamical Systems Using Neural Networks”,IEEE Trans. Neural Networks, vol. 1, No. 1, pp. 4-27.
Maryhelen Stevenson, Rodney Winter, and Bernard Widrow (Mar. 1990) “Sensitivity of Feedforward Neural Networks to Weight Errors”,IEEE Trans. Neural Networks, vol. 1, No. 1, pp. 71-80.
Esther Levin, Naftali Tishby, and Sara A. Solla (Oct. 1990) “A Statistical Approach to Learning and Generalization in Layered Neural Networks”,Proc. IEEE, vol. 78, No. 10, pp. 1568-1574.
Les Atlas, Jerome Connor and Mark Damborg (1991) “Comparisons of Conventional Techniques and Neural Network in Computer-aided Design”, Artificial Intelligence in Engineering, 5(1):9-22.
Miodrag Djukanov, Borivoje Babic, Dijan J. Sobajic and Yoh-Han Pao (1991) “Unsupervised/Supervised Learning Concept for 24-Hour Load Forecasting”,Artificial Intelligence in Engineering, pp. 819-827.
M.M. Gupta and J. Qi (1991) “Fusion of Fuzzy Logic and Neural Networks with Applications to Decision and Control Problems”,Proceedings of the 1991 American Control Conference, pp. 1:30-31.
Jocelyn Sietsma and Robert J. F. Dow (1991) “Creating Artificial Neural Networks That Generalize”,Neural Networks, vol. 4, pp. 67-79.
Petros A. Ioannou and Aniruddha Datta (Dec. 1991) “Robust Adaptive Control: A Unified Approach”,Proc. IEEE, vol. 79, No. 12, pp. 1736-1768.
S.A. Billings, H.B. Jamaluddin and S. Chen (1992) “Properties of neural networks with applications to modeling non-linear dynamical systems”,Int. J. Control, pp. 55(1):193-224.
John Doleac, Jeff Getchius, Judy Franklin and Chuck Anderson (1992) “Nadaline Connectionist Learning vs. Linear Regression at a Lamp Manufacturing Plant”,Proceedings of The First IEEE Conference on Control Applications, pp. 552-558.
William Finnoff, Ferdinand Hergert, and Hans Georg Zimmerman (1993) “Improving Model Selection by Nonconvergent Methods”,Neural Networks, vol. 6, pp. 771-783.
Andreas Ikonomopoulos, Lefteri H. Tsoukalas and Robert E. Uhrig (1993) “A Hybrid Neural Networ-Fuzzy Arithmetic Methodology For Performing Virtual Measurements in a Complex System”,Proceedings of the Thirty-Sixth Power Instrumentation Symposium, pp. 205-212.
Michael Nikolaou (1993) “Neural Network Modeling of Nonlinear Dynamical Systems”,Proceeding of the 1993 American Control Conference, pp. 1460-1464.
Stevan V. Odri, Dusan P. Petrovacki, and Gorana A. Krstonosic (1993) “Evolutional Development of a Multilevel Neural Network”,Neural Networks, vol. 6, pp. 583-595.
Yoh-Han Pao and Gwang-Hoon Park (1993) “Neural-Net Computing for Machine Recognition of Handwritten English Language text”,Fundamentals of Handwriting Recognition, pp. 335-351.
Mujeeb M. Ahmed (1994) “An Integrated Approach to Distributed Intelligent Control”,Proceeding of the Thirty-Seventh Power Instrumentation Symposium, pp. 1-15.
Timothy J. Graettinger, Naveen V. Bhat and Jeffrey S. Buck (1994) Adaptive Control with NeuCOP, The Neural Control and Optimization Package,IEEE, pp. 2389-2393.
Yoh-Han Pao (1994) “Process Monitoring and Optimization for Power Systems Applications”,IEEE International Conference on Neural Networks, pp. 3697-3702.
Percy P.C. Yip and Yoh-Han Pao (1994) “A Guided Evolutionary Computation Tehnique as Function Optimizer”,Proceeding of First IEEE Conference on Evolutionary Computation, pp. 628-633.
Stuart J. Russell and Peter Norvig, (1995) “Learning From Observations”,Artificial Intelligence: A Modern Approach, pp. 525-562.
Mattias Nyberg and Yoh-Han Pao (1995) “Automatic Optimal Design of Fuzzy Systems Based on Universal Approximation and Evolutionary Programming”,Fuzzy Logic And Intelligent Systems, pp. 311-366 (edited by H.L. Hua and M. Gu

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