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Kaufman, K.A., "A Monitor to Process Triggered Updates for a Prototype Data Traffic Management System," Master's Thesis, Department of Computer Science, University of Illinois, Urbana, IL, 1986.
Kaufman, K.A., Michalski, R.S. and Kerschberg, L., "Mining for Knowledge in Databases: Goals and General Description of the INLEN System," Proceedings of IJCAI-89 Workshop on Knowledge Discovery in Databases, Detroit, MI, August 1989.
Kaufman, K., Michalski, R.S., Zytkow, J. and Kerschberg, L., "The INLEN System for Extracting Knowledge from Databases: Goals and General Description," Reports of the Machine Learning and Inference Laboratory, MLI 89-6, School of Information Technology and Engineering, George Mason University, Fairfax, VA, 1989.
Kaufman, K., Michalski, R.S. and Schultz, A., "EMERALD 1: An Integrated System of Machine Learning and Discovery Programs for Education and Research, User's Guide," Reports of the Machine Learning and Inference Laboratory, MLI 89-7, School of Information Technology and Engineering, George Mason University, Fairfax, VA, 1989.
Kaufman, K. Schultz, A. and Michalski, R.S., "EMERALD 1: An Integrated System of Machine Learning and Discovery Programs for Education and Research: Programmer's Guide for the Sun Workstation," Reports of the Machine Learning and Inference Laboratory, MLI 90-13, School of Information Technology and Engineering, George Mason University, Fairfax, VA, December 1990.
Kaufman, K. and Michalski, R.S., "EMERALD 1: An Integrated System of Machine Learning and Discovery Programs for Education and Research: Programmer's Guide for the VaxStation," Reports of the Machine Learning and Inference Laboratory, MLI 90-14, School of Information Technology and Engineering, George Mason University, Fairfax, VA, December 1990.
Kaufman, K., Michalski, R.S. and Kerschberg, L., "An Architecture for Integrating Machine Learning and Discovery Programs into a Data Analysis System," Proceedings of the AAAI-91 Workshop on Knowledge Discovery in Databases, Anaheim, CA, July 1991.
Kaufman, K., Michalski, R.S. and Kerschberg, L., "Knowledge Extraction from Databases: Design Principles of the INLEN System," Proceedings of the Sixth International Symposium on Methodologies for Intelligent Systems, ISMIS '91, October 16-19, 1991.
Thrun, S.B., Bala, J., Bloedorn, E., Bratko, I., Cestnik, B., Cheng, J., De Jong, K.A., Dzeroski, S., Fahlman, S.E., Hamann, R., Kaufman, K., Keller, S., Kononenko, I., Kreuziger, J., Michalski, R.S., Mitchell, T., Pachowicz, P., Vafaie, H., Van de Velde,W., Wenzel, W., Wnek, J. and Zhang, J., "The MONK's problems: A Performance Comparison of Different Learning Algorithms," Carnegie Mellon University, Pittsburgh, PA, October 1991.
Kaufman, K.A., Michalski, R.S. and Kerschberg, L., "Mining for Knowledge in Databases: Goals and General Description of the INLEN System," Knowledge Discovery in Databases, G. Piatetski-Shapiro and W.J. Frawley (Eds), AAAI Press/The MIT Press, Menlo Park, CA 1991.
Thrun, S.B., Bala, J., Bloedorn, E., Bratko, I., Cestnik, B., Cheng, J., De Jong, K.A., Dzeroski, S., Fahlman, S.E., Hamann, R., Kaufman, K., Keller, S., Kononenko, I., Kreuziger, J., Michalski, R.S., Mitchell, T., Pachowicz, P., Vafaie, H., Van de Velde, W., Wenzel, W., Wnek, J. and Zhang, J., "The MONK's problems: A Performance Comparison of Different Learning Algorithms," Computer Science Reports, CMU-CS-91-197, Carnegie Mellon University (Revised version), Pittsburgh, PA, December 1991.
Michalski, R.S., Kaufman, K. and Wnek, J., "The AQ Family of Learning Programs: A Review of Recent Developments and an Exemplary Application," Reports of the Machine Learning and Inference Laboratory, MLI 91-11, School of Information Technology and Engineering, George Mason University, Fairfax, VA, December 1991.
Michalski, R.S., Kerschberg, L., Kaufman, K.A. and Ribeiro, J.S., "Searching for Knowledge in Large Databases," Proceedings of the First International Conference on Expert Systems and Development, Cairo Egypt, April 1992.
Michalski, R.S., Kerschberg, L., Kaufman, K.A. and Ribeiro, J.S., "Mining For Knowledge in Databases: The INLEN Architecture, Initial Implementation and First Results," Intelligent Information Systems: Integrating Artificial Intelligence and Database Technologies, Vol. 1, No. 1, pp. 85-113, August 1992.
Bala, J.W., Bloedorn, E., De Jong, K.A., Kaufman, K., Michalski, R.S., Pachowicz, P.W., Vafaie, H., Wnek, J. and Zhang, J., "A Brief Review of AQ Learning Programs and Their Application to the MONKS Problems," Reports of the Machine Learning and Inference Laboratory, MLI 92-9, George Mason University, Fairfax, VA, 1992.
Kaufman, K.A., Schultz, A. and Michalski, R.S., "EMERALD 2: An Integrated System of Machine Learning and Discovery Programs for Education and Research, User's Guide," Reports of the Machine Learning and Inference Laboratory, MLI 93-8, School of Information Technology and Engineering, George Mason University, Fairfax, VA, September 1993.
Kaufman, K.A., Michalski, R.S. and Schultz, A., "EMERALD 2: An Integrated System of Machine Learning and Discovery Programs for Education and Research, Programmer's Guide for the SUN Workstation," Reports of the Machine Learning and Inference Laboratory, MLI 93-9, School of Information Technology and Engineering, George Mason University, Fairfax, VA, September 1993.
Kaufman, K.A. and Michalski, R.S., "EMERALD: An Integrated System of Machine Learning and Discovery Programs to Support Education and Experimental Research," Reports of the Machine Learning and Inference Laboratory, MLI 93-10, School of Information Technology and Engineering, George Mason University, Fairfax, VA, September 1993.
Bloedorn, E., Wnek, J., Michalski, R.S. and Kaufman, K., "AQ17, A Multistrategy Learning System: The Method and Users Guide," Reports of the Machine Learning and Inference Laboratory, MLI 93-12, School of Information Technology and Engineering, George Mason University, Fairfax, VA, November, 1993.
Kaufman, K., "Comparing International Development Patterns Using Multi-operator Learning and Discovery Tools," Proceedings of the AAAI-94 Workshop on Knowledge Discovery in Databases, Seattle, WA, pp. 431-440, August, 1994.
Bloedorn, E., Imam, I., Kaufman, K., Maloof, M., Michalski, R.S. and Wnek, J., "HOW DID AQ FACE THE EAST-WEST CHALLENGE? An Analysis of the AQ Family's Performance in the 2nd International Competition of Machine Learning Programs," Reports of the Machine Learning and Inference Laboratory, MLI 95-3, George Mason University, Fairfax, VA, March 1995.
Wnek, J., Kaufman, K., Bloedorn, E. and Michalski, R.S., "Inductive Learning System AQ15c: The Method and User's Guide," Reports of the Machine Learning and Inference Laboratory, MLI 95-4, George Mason University, Fairfax, VA, March 1995.
Ribeiro, J., Kaufman, K. and Kerschberg, L., "Knowledge Discovery from Multiple Databases," Proceedings of the IASTED/ISMM International Conference on Intelligent Information Management Systems, Washington, D.C., June, 1995.
Ribeiro, J., Kaufman, K. and Kerschberg, L., "Knowledge Discovery from Multiple Databases," Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD-95), Montreal, Canada, August, 1995, pp. 240-245.
Kaufman, K. and Michalski, R.S., "Multistrategy Conceptual Analysis of Economic Data," Ein-Dor, P. (ed.), Artificial Intelligence in Economics and Management: An Edited Proceedings on the Fourth International Workshop, Boston, Kluwer Academic Publishers, 1996, pp. 193-203.
Kaufman, K., "Addressing Knowledge Discovery Problems in a Multistrategy Framework," Proceedings of the Third International Workshop on Multistrategy Learning (MSL-96), Harpers Ferry, WV, May 23-25, 1996, pp. 305-312.
Wnek, J., Kaufman, K., Bloedorn, E. and Michalski, R.S., "Inductive Learning System AQ15c: The Method and User's Guide," Reports of the Machine Learning and Inference Laboratory, MLI 96-6, George Mason University, Fairfax, VA, August, 1996.
Kaufman, K. and Michalski, R.S., "A Method for Reasoning with Structured and Continuous Attributes in the INLEN-2 Knowledge Discovery System," Proceedings of the Second International Conference on Knowledge Discovery and Data Mining (KDD-96), Portland, OR, August, 1996, pp. 232-237.
Michalski, R.S. and Kaufman, K.A., "Data Mining and Knowledge Discovery: A Review of Issues and a Multistrategy Approach," Reports of the Machine Learning and Inference Laboratory, MLI 97-2, George Mason University, Fairfax, VA, 1997.
Kaufman, K.A. and Michalski, R.S., "KGL: A Language for Learning," Reports of the Machine Learning and Inference Laboratory, MLI 97-3, George Mason University, Fairfax, VA, 1997.
Kaufman K. A. and Michalski, R. S., "EMERALD 2: An Integrated System of Machine Learning and Discovery Programs for Education and Research, User's Guide (Updated Edition)," Reports of the Machine Learning and Inference Laboratory, MLI 97-8, George Mason University, Fairfax, VA, 1997.
Kaufman K. A. and Michalski, R. S., "EMERALD 2: An Integrated System of Machine Learning and Discovery Programs for Education and Research, Programmer's Guide for the Sun Workstation (Updated Edition)," Reports of the Machine Learning and Inference Laboratory, MLI 97-9, George Mason University, Fairfax, VA, 1997.
Michalski, R. S. and Kaufman, K. A., "Multistrategy Data Exploration Using the INLEN System: Recent Advances," Sixth International Conference on Intelligent Information Systems, Zakopane, Poland, June, 1997.
Kaufman, K.A., "INLEN: A Methodology and Integrated System for Knowledge Discovery in Databases," Ph.D. Dissertation, School of Information Technology and Engineering, Reports of the Machine Learning and Inference Laboratory, MLI 97-15, George Mason University, Fairfax, VA, November, 1997.
Michalski, R.S. and Kaufman, K.A.,
"Data Mining and
Knowledge Discovery: A Review of Issues and a Multistrategy
Approach," in Michalski, R.S., Bratko, I. and Kubat, M. (Eds.),
Machine Learning and Data Mining: Methods and Applications, London:
John Wiley & Sons, pp. 71-112, 1998.
Kaufman, K.A. and Michalski, R.S., "Discovery Planning: Multistrategy Learning in Data Mining," Proceedings of the Fourth International Workshop on Multistrategy Learning (MSL'98), Desenzano del Garda, Italy, June 11-13, 1998.
Kaufman, K.A. and Michalski, R.S., "Multistrategy Data Mining via the KGL Metalanguage," Proceedings of the Seventh Symposium on Intelligent Information Systems (IIS'98), Malbork, Poland, pp. 39-48, June 15-19, 1998.
Kaufman, K.A. and Michalski, R.S., "Learning in an Inconsistent World: Rule Selection in AQ18," Reports of the Machine Learning and Inference Laboratory, MLI 99-2, George Mason University, Fairfax, VA, January, 1999.
Kaufman, K.A. and Michalski, R.S., "Learning from Inconsistent and Noisy Data: The AQ18 Approach," Proceedings of the Eleventh International Symposium on Methodologies for Intelligent Systems (ISMIS-99), Warsaw, June, 1999.
Michalski, R.S. and Kaufman, K.A., "Discovering Multidimensional Patterns in Large Datasets Using Knowledge Scouts," Reports of the Machine Learning and Inference Laboratory, MLI 99-7, George Mason University, Fairfax, VA, June 1999.
Michalski, R.S. and Kaufman, K.A., "A Measure of Description Quality for Data Mining and its Implementation in the AQ18 Learning System," Proceedings of the International ICSC Congress on Computational Intelligence Methods and Applications (CIMA-99), Rochester, NY, pp. 369-375, June, 1999.
Kaufman, K.A. and Michalski, R.S., "ISHED1: Applying the LEM Methodology to Heat Exchanger Design," Reports of the Machine Learning and Inference Laboratory, MLI 00-2, George Mason University, Fairfax, VA, 2000.
Kaufman, K.A. and Michalski, R.S., "The AQ18 System for Machine Learning: User's Guide," Reports of the Machine Learning and Inference Laboratory, MLI 00-3, George Mason University, Fairfax, VA, 2000.
Kaufman, K.A. and Michalski, R.S., "An Adjustable Rule Learner for Pattern Discovery Using the AQ Methodology," Journal of Intelligent Information Systems, 14, pp. 199-216, 2000.
Michalski, R.S. and Kaufman, K., "Building Knowledge Scouts Using KGL Metalanguage," Fundamenta Informaticae 40, pp. 433-447, 2000.
Cervone, G., Michalski, R.S., Kaufman, K. and Panait, L., "Combining Machine Learning with Evolutionary Computation: Recent Results on LEM," Proceedings of the Fifth International Workshop on Multistrategy Learning (MSL-2000), Guimarães, Portugal, pp. 41-58, June, 2000.
Michalski, R.S., Cervone, G. and Kaufman, K., "Speeding Up Evolution through Learning: LEM," Proceedings of the Ninth International Symposium on Intelligent Information Systems, Bystra, Poland, June 12-16, 2000.
Cervone, G., Kaufman, K. and Michalski, R.S., "Experimental Validations of the Learnable Evolution Model," 2000 Congress on Evolutionary Computation, San Diego CA, July, 2000.
Kaufman K. and Michalski, R.S., "Applying Learnable Evolution Model to Heat Exchanger Design," Proceedings of the Twelfth Annual Conference on Innovative Applications of Artificial Intelligence (IAAI-2000), 2000.
Kaufman, K.A. and Michalski, R.S., "A Knowledge Scout for Discovering Medical Patterns: Methodology and System SCAMP," Proceedings of the Fourth International Conference on Flexible Query Answering Systems, FQAS'2000, Warsaw, Poland, pp. 485-496, October 25-28, 2000.
Michalski, R.S. and Kaufman, K.A., "The AQ19 System for Machine Learning and Pattern Discovery: A General Description and User's Guide," Reports of the Machine Learning and Inference Laboratory, MLI 01-2, George Mason University, Fairfax, VA, 2001.
Michalski, R.S. and Kaufman, K, "Learning Patterns in Noisy Data: The AQ Approach," in Paliouras, G., Karkaletsis, V. and Spyropoulos, C. (eds.) Machine Learning and its Applications, Springer-Verlag, pp. 22-38, 2001.
Cervone, G., Kaufman, K.A. and Michalski, R.S., "Recent Results from the Experimental Evaluation of the Learnable Evolution Model," Proceedings of the Genetic and Evolutionary Computation Conference, GECCO-2002, 2002.
Kaufman K. and Michalski R.S., "The Development of the Inductive Database System VINLEN: A Review of Current Research," International Intelligent Information Processing and Web Mining Conference, Zakopane, Poland, 2003.
Cervone G., Kaufman K. and Michalski R.S., "Validating Learnable Evolution Model on Selected Optimization and Design Problems," Reports of the Machine Learning and Inference Laboratory, MLI 03-1, George Mason University, Fairfax, VA, June, 2003.
Kaufman K., Cervone G. and Michalski R.S., "An Application of Symbolic Learning to Intrusion Detection: Preliminary Results From the LUS Methodology," Reports of the Machine Learning and Inference Laboratory, MLI 03-2, George Mason University, Fairfax, VA, June, 2003.
Domanski, P.A., Yashar, D., Kaufman K. and Michalski R.S., "An Optimized Design of Finned-Tube Evaporators Using the Learnable Evolution Model," Reports of the Machine Learning and Inference Laboratory, MLI 04-1, George Mason University, Fairfax, VA, February, 2004.
Domanski, P.A., Yashar, D., Kaufman, K. and Michalski, R.S., "An Optimized
Design of Finned-Tube Evaporators Using the Learnable Evolution Model,"
International Journal of Heating, Ventilating, Air-Conditioning and
Refrigerating Research, 10, 201-211, April, 2004 (a final version of
the report 04-1).
Kaufman, K. and Michalski, R.S.,
"Initial
Considerations toward Knowledge Mining," Reports of the Machine
Learning and Inference Laboratory, MLI 04-4, George Mason University,
Fairfax, VA, October, 2004.
Kaufman, K. and Michalski, R.S., "From Data Mining to Knowledge Mining," Handbook in Statistics, Vol. 24: Data Mining and Data Visualization, Rao, C.R., Solka, J.L. and Wegman, E.J. (Eds.), 47-75, Elsevier/North Holland, 2005.
Michalski, R.S., Kaufman, K., Pietrzykowski, J., Sniezynski, B. and Wojtusiak, J., "Learning User Models for Computer Intrusion Detection: Preliminary Results from Natural Induction Approach," Reports of the Machine Learning and Inference Laboratory, MLI 05-3, George Mason University, Fairfax, VA, November, 2005.