Note: some more recent publications are not included

Aryeetey, K. Ziarko, W. Tai, P. Ago, C. Rough set approach to brain metastases and survival time  prediction for lung cancer patients. In: Komorowski, J. Tsumoto, S. (eds.) Rough Set Data Analysis in Bi-Medicine and Public Health (in print).

Ziarko, W. Rough set approaches for discovery of rules and attribute dependencies.

        In: Kloesgen, W.,  Zytkow, J. (eds.) Handbook of Data Mining and Knowledge Discovery, Oxford

         University Press (in print).

Buczak, A.. Ziarko, W. Data mining methods in engineering. In: Kloesgen, W.,

         Zytkow, J. (eds.) Handbook of Data Mining and Knowledge Discovery, Oxford

         University Press (in print).

Ziarko, W. Probabilistic decision tables in the variable precision rough set model. Computational Intelligence: an International Journal, vol. 17, no 3, 2001, 593-603.

Aryeetey, K. Ziarko, W. Tai, P. Ago, C. Identification of rules for brain metastases and survival time prediction for small cell lung cancer patients. Proc. of the International Symposium on Intelligent Information Systems, IIS’2001, Zakopane, Poland 2001, Advances in Soft Computing, Physica Verlag, 1-12.

Ziarko, W. Rough sets: trends, challenges and future prospects. Proc. of the Second Int. Conference on Rough Sets and Current Trends in Computing, Banff, Canada, Lecture Notes in AI 2005,  Springer Verlag (in print).

Liang, A. Ziarko, W. Maquire, B. The application of distance learning algorithm in Web-based course delivery. Proc. of the Second Int. Conference on Rough Sets and Current Trends in Computing, Banff, Canada, 2000, 300 – 307. Also in Lecture Notes in AI 2005,  Springer Verlag (in print).

Ziarko, W. Optimal decision making with data-acquired decision tables. Proc. of the International Symposium on Intelligent Information Systems, IIS’2000, Bystra, Poland 2000, Advances in Soft Computing, Physica Verlag, 75-85.

Grzymala-Busse, J.  Ziarko, W. Data mining and rough set theory. Communications of the ACM,

        vol. 43,  2000,  108-109 .

Ziarko, W. Data mining: current research, dangers and challenges. University of Regina 1997-1998 Distinguished Scholars Lecture Series, 2000, 6-11.

Ziarko, W. Decision making with probabilistic decision tables. . Proc. of  the 7^th Intl Workshop on

        Rough Sets, Fuzzy Sets, Data Mining and  Granular Computing, RSFDGrC’99, Yamaguchi, Japan

        1999, Lecture Notes in AI 1711, Springer Verlag, 463-471.

Higgins, M. Ziarko, W. Computerized spelling recognition of words expressed

        in the sound approach. Proc. of  the 7^th Intl Workshop on Rough Sets, Fuzzy Sets, Data Mining

        and  Granular Computing, RSFDGrC’99, Yamaguchi, Japan 1999, Lecture Notes in AI 1711,

        Springer Verlag, 543-550.

Ziarko, W.  Discovery through rough sets theory. Communications of the ACM,

        vol. 42, no. 11, 1999, 55-57 .

Ziarko, W. Predictive modelling with probabilistic decision tables. Proc. of 11^th IASTED

         Conference on Modelling, Identification and Control, Innsbruck 1999, 59-62.

Brindle, D. Ziarko, W. Experiments with rough set approach to speech recognition.

         Proc. of Intl. Conference on Methodologies for Intelligent Systems, ISMIS’99, Warsaw 1999,

         Lecture Notes in AI 1609, Springer Verlag, 376-384..

Cheshenchuk, S. Ziarko, W. Mining patient data for predictive rules to determine

         maturity status of newborn children. Bulletin of the Rough Set Society, vol. 3, no. 1-2, 1999, 23-26.

Ziarko, W. Rough sets and data mining. Proc. of the 4-th Intl. Conference on

         Information Systems, Analysis and Synthesis, ISAS’98, Orlando 1998, 257-262.

Ziarko, W. Rough sets methodology in data mining. Proc. of  Int. Symposium

      on Intelligent Information Systems,  IIS’98, Malbork 1998 , 78-84.

Ziarko, W. Mining decision tables from data. Proc. of  Int. Conference

     on Artificial Neural Networks in Engineering , ANNIE’98, St. Louis , 1998, 379-384.

Ziarko, W. Approximation region-based decision tables. Proc. of Int.

        Conference on Rough Sets and Current Trends in Computing, Warsaw 1998,

        Lecture Notes in AI  1424, Springer Verlag, 1998, 178-185.   

Ziarko, W. KDD-R: Rough sets-based data mining system. In Polkowski L.,

     Skowron, A. (eds.) Rough Sets in Knowledge Discovery, Part II.

     Springer Verlag, Series Studies in Fuzziness and  Soft Computing,

     1998,  598-601.

Ziarko, W. Rough sets as a methodology for data mining. In Polkowski L.,

     Skowron, A. (eds.) Rough Sets in Knowledge Discovery, Part I ,

     Springer Verlag,  Series Studies in Fuzziness and  Soft Computing,

     1998,  554-576.

Ziarko, W. Rough sets and data mining. Proc. of the Fifth European

     Congress on Intelligent Techniques and Soft Computing, Aachen, Germany,

     vol. 1, Verlag Mainz, 1997, 206-211.

Hamilton, H. Shan, N. Ziarko, W. Machine learning of credible

     classifications. Proc. of the Tenth Australian Conference on Artificial

     Intelligence, Perth, Australia,  Lecture Notes in Artificial Intelligence, vol. 1342,  

     Springer Verlag, 1997, 332-339.

Ziarko, W. Shan, N. Machine learning through data classification and

     reduction. Fundamenta Informaticae, vol. 30, 1997, 371-380.

An, A. Chan, C. Shan, N. Cercone, N. Ziarko, W. Applying knowledge

     discovery to predict water-supply consumption. IEEE  Expert, vol. 12,

     no. 4, 1997, 72-78.

Hu, X. Cercone, N. Ziarko, W. A generalized rough sets model for data

     mining applications. Fifth International Workshop on Rough Sets and Soft

     Computing, Durham, NC. 1997, 181-186.

Grzymala-Busse, J. Stefanowski, J. Ziarko, W. Rough sets: facts versus

     misconceptions. Informatica: An International Journal, vol. 20, 1996,

     455-464.

An, A. Cercone, N. Chan, C. Shan, N. Ziarko, W. Discovering rules for

     water demand prediction: an enhanced rough-set  approach. Engineering

     Applications of Artificial Intelligence, vol. 9, no. 6, 1996, 645-653. 

Ziarko, W. Review of the basics of rough sets in the context of data

     mining. The Fourth Intl. Workshop on Rough Sets, Fuzzy Sets, and Machine

     Discovery, Tokyo 1996, pp. 447-457.  

Shan, N. Hamilton, H. Ziarko, W. Cercone, N. Discretization of

    continous-valued attributes in classification systems. Proc. of  the

    Fourth Intl. Workshop on Rough Sets, Fuzzy Sets, and Machine Discovery,

    Tokyo 1996, 74-81.

Ziarko, W. Shan, N. On discovery of attribute interactions and domain

    classifications. Intelligent Automation and Soft Computing: an

    International Journal, vol. 2, no. 2, 1996, 211-218.

Hou, Y. Ziarko, W. Rough sets approach to handwriting recognition.

    Proc. of the Fourth Intl. Workshop on Rough Sets, Fuzzy Sets, and

    Machine Discovery, Tokyo 1996, 372-382.

Shan N. Ziarko, W. Hamilton, H. Cercone, N. Discovering classification

    knowledge in databases using rough sets.

    Proc. of the Intl. Conference on Knowledge Discovery and Data Mining,

    Portland 1996, AAAI Press, 271-274.

Hu, X. Cercone, N. Ziarko, W. Generation of multiple knowledge from

    databases based on rough sets theory . In Lin, T.Y. Cercone, N. (eds.),

    Rough Sets and Data Mining, Kluwer Academic, 1997, 91-109.

Wojcik, B. Ziarko, W. Rough sets approach to analysis of databases of

    women with breast cancer treated in the US military facilities.

    Procs. of IEEE-SMC Intl. Conference on Computational Engineering in

    Systems Applications, CESA 96, Lille, France 1996, 748-752.

Ziarko, W. Cercone, N. Hu, X. Rule discovery from databases with

    decision matrices. Proc of the Intl. Conference on Methodologies for 

    Intelligent Systems, ISMIS96, Zakopane, Poland 1996. Lecture Notes

    in Artificial Intelligence, vol. 1079, Springer Verlag, 653-662. 

Tsumoto, S. Ziarko, W. The application of rough sets-based data

    mining technique to differential diagnosis of meningoencephalitis.

    Proc. of the Int. Conference on Methodologies for Intelligent Systems,

    ISMIS96, Zakopane 1996, Lecture Notes in Artificial Intelligence, vol.

    1079, Springer Verlag, 438-447.

Katzberg, J. Ziarko, W. Variable precision extension of rough sets.

    In W. Ziarko (ed.) Fundamenta  Informaticae, Special Issue on Rough

    Sets, vol. 27, no. 2-3, 1996, 155-168.

Ziarko, W. Shan, N. A method for computing all maximally general rules in

    attribute-value systems. Computational Intelligence: an International

    Journal, vol. 12, no. 2, 1996, 223-234.

Jackson, A. LeClair, S. Ohmer, M. Ziarko, W. Al-Kamhwi. Rough sets

    applied to materials data. Acta Metalurgica et Materialia, vol. 44, no.

    11, 1996, 4475-4484.

Tsumoto, S. Ziarko, W. Shan. N. Tanaka, H. Knowledge discovery in

    clinical databases based on variable precision rough sets model.

    Proc. of the  Nineteenth  Annual Symposium on Computer Applications in

    Medical Care, New Orleans, 1995. Journal of American Medical Informatics

    Association  Supplement, 270-274.

Shan, N. Ziarko, W. Data-based acquisition and incremental modification

    of classification rules  . Computational Intelligence: an International

    Journal, vol. 11, no. 2, 1995, 357-370.

Ziarko, W. Introduction to the Special Issue on Rough Sets and

    Knowledge Discovery. Computational Intelligence: an International

    Journal, vol.11, no. 2, 1995, 223-226.

Ziarko, W. Shan, N. Mining strong data patterns with KDD-R system.

    Proc. of the Fourth Annual Conference on Fuzzy Theory and Technology,

    Workshop on Rough Sets and Data Mining, Wilmington Beach, 1995, 89-90 .

Grzymala-Busse, J. Pawlak, Z. Slowinski, R. Ziarko, W. Rough sets.

    Communications of the ACM, Special Issue on New Horizons of Commercial

    and Industrial AI, vol. 38, no. 11, 1995, 89-95.

An. A. Shan, N. Chan, C. Cercone, N. Ziarko, W. Discovering rules from

    data for water demand prediction. Proc. of the IJCAI-95 Workshop on

    Machine Learning in Engineering, Montreal 1995, 187-202.

Shan, N. Ziarko, W. Hamilton, H. Cercone, N. Using rough sets as tools

    for knowledge discovery. Proc. of the First International Conference on

    Knowledge Discovery and Data Mining, KDD-95, Montreal 1995 , 263 -268.

Ziarko, W. Shan, N. Knowledge discovery as a search for classifications.

    Proceedings of the ACM CSC'95 Workshop on Rough Sets and Database

    Mining, Nashville 1995.

Shan, N, Ziarko, W. Learning system for knowledge discovery. FLAIRS-95

    Florida AI Research Symposium, Melburne Beach 1995, 329-333.

Zhang, X. Katzberg, J. Ziarko, W. Shan, N.  Automatic discovery of

    a decision list from experimental data.

    Proc. of Pacific-Asian Conference on Expert Systems, Hefei, China 1995,

    529-535.

Katzberg, J. W. Katzberg, P. Ziarko, W. Variable precision rough sets

    approach to predicting factors affecting delay likelihoods.

    Proc. of the 8-th International Conference on Industrial and Engineering

    Applications of Artificial Intelligence and Expert Systems, Melburne,

    Australia 1995 .

Golan, R. Ziarko, W. A methodology for stock market analysis utilizing

    rough set theory. Proc. of IEEE/IAFE Conference on Computational

    Intelligence for Financial Engineering, New York City 1995 , 32-40.

Ziarko, W. and Shan, N. Discovering attribute relationships, dependencies

    and rules by using rough sets. Proceedings of the 28-th Hawaii

    International Conference on Systems Sciences, IEEE Computer Society Press

    1995, vol.3, 293-299.

Khasnabis, S. Arciszewski, T. Hoda, S. Ziarko, W. Urban rail corridor

    control through machine learning: an intelligent vehicle-highway system

    approach. Transportation Research Record, no. 1453, 1994, 91-97.

Ziarko, W. Shan, N. KDD-R: a comprehensive system for knowledge discovery

    using rough sets. Proceedings of the International Workshop on

    Rough Sets and Soft Computing, RSSC'94, San Jose 1994, 164-173.

Hu, X. Shan, N. Cercone, N. Ziarko, W. DBROUGH: a rough set based

    knowledge discovery system. Proceedings of the International Symposium

    on Methodologies for Intelligent Systems, ISMIS'94, Charlotte 1994,

    Lecture Notes in Artificial Intelligence, Springer Verlag, 1994, 386-395 .

Ziarko, W. Shan, N. Machine learning through data classification and

    reduction. Proceedings of the International Workshop on Information

    Systems, Wigry 1994, 121-132.

Ziarko, W. Shan, N. Rough sets and knowledge discovery. Encyclopedia

    of Computer Science and Technology, Marcell Dekker Inc., vol. 35,

    supplement 20, 1996, 369-379.

Ziarko, W. Rough sets and knowledge discovery: an overview. In W. Ziarko

    (ed.) Rough Sets, Fuzzy Sets and Knowledge Discovery, Springer Verlag,

    1994, 11-15.

Ziarko, W. Shan, N.Acquisition and analysis of decision logic from data.

    Proceedings  of the Third Annual North Atlantic Test Workshop, NATW'94,

    Lowell 1994, Massachusetts, D1-D5.

Ziarko, W Shan, N. A non-inductive incremental approximate learning

    from examples. Proceedings of the Third Pacific Rim International

    Conference on Artificial Intelligence, Beijng 1994, 395-400.

Shan, N. Hu, X. Ziarko, W Cercone, N. A generalized rough sets model.

    Proceedings of the Third Pacific Rim International Conference

    on Arificial Intelligence, Bejing 1994, 437-443.

Ziarko, W. Shan, N. Machine learning: rough sets perspective.

    Proceedings of the Second International Conference on

    Expert Systems for Development, Bangkok 1994, IEEE Computer

    Society Press, 114-119.

Arciszewski, T. Hoda, S. Khasnabis, T. Ziarko, W. Machine learning in

    transportation engineering: a feasibility study. Journal of

    Applied Artificial Intelligence, vol. 8, no. 1, 1994, 109-124.

Arciszewski, T. Ziarko, W. Learning conceptual design rules: a rough sets

    approach. Proceedings of the International Workshop on

    Rough Sets and Knowledge Discovery, RSKD'93, Banff 1993. Also in

    Ziarko, W. (ed.) Rough Sets, Fuzzy Sets and Knowledge Discovery,

    Springer Verlag 1994, 444-449.

Shan, N, Ziarko, W. An incremental algorithm for constructing decision

    rules. Proceedings of the International Workshop on Rough Sets and

    Knowledge Discovery, RSKD'93, Banff 1993, 335-346. Also in Ziarko, W.

    (ed.) Rough Sets, Fuzzy Sets and Knowledge Discovery, Springer Verlag

    1994, 326-334.

Katzberg, J. Ziarko, W. Variable precision rough sets with asymmetric

    bounds. Proceedings of the International Workshop on Rough Sets and

    Knowledge Discovery, RSKD'93, Banff 1993, 163-191. Also in Ziarko, W.

    (ed.) Rough Sets, Fuzzy Sets and Knowledge Discovery, Springer Verlag

    1994, 167-177.

Szladow, A. Ziarko, W. Adaptive process control using rough sets.

    Proceedings of the International Conference of Instrument Society

    of America, ISA/93, Chicago 1993, 1421-1430.

Ziarko, W. The first international workshop on rough sets:

    state of the art and perspectives. AI Magazine, vol. 14, no. 3,

    1993, 29-31.

Ziarko, W. Variable precision rough sets model. Journal of Computer

    and Systems Sciences, vol. 46, no. 1, 1993, 39-59.

Szladow, A. Ziarko, W. Rough sets: working with imperfect data.

    AI Expert, vol. 8, no. 7, 1993, 36-41.

Ziarko, W. Analysis of uncertain information in the framework

    of variable precision rough sets . Foundations of Computing

    and Decision Sciences, vol. 18, no. 3-4, 1993, 381-396.

Ziarko, W. Golan, R. Edwards, D. An application of Datalogic/R

    knowledge discovery tool to identify strong predictive rules in

    stock market data. Proceedings of AAAI Workshop on

    Knowledge Discovery in Databases, Washington D.C. 1993, 93-101.

Ziarko, W. Katzberg, J. Rough sets approach to system modelling and

    control algorithm acquisition. Proceedings of IEEE WESCANEX 93

    Conference, Saskatoon 1993, 154-163.

Szladow, A. Ziarko, W. Application of rough sets theory to process

    control. Proceedings of Calgary 93 Symposium of Instrument Society

    of America, Calgary 1993. 

Arciszewski, T. Ziarko, W. Machine learning and knowledge acquisition

    in civil engineering. In Arciszewski, T. (ed.) Knowledge Acquisition

    in Civil Engineering, American Society of Civil Engineers,

    1992, 50-69.

Szladow, A. Ziarko, W. Knowledge-based process control using rough

    sets.In Slowinski, R. (ed.) Decision Support by Experience: Rough Sets

    Approach. Kluver Academic Publishers, 1992, 49-60.

Ziarko, W. Acquisition of control algorithms from operation data.

    In Slowinski, R (ed.) Decision Support by Experience:

    Rough Sets Approach. Kluwer Academic Publishers, 1992, 61-75.    

Ziarko, W. Generation of control algorithms for computerized controllers

    by operator supervised training. Proceedings of the Eleventh IASTED

    International Conference on Modelling, Identification and Control,

    Innsbruck, Austria, 1992, 510-513.

Keiser, K. Szladow, A. Ziarko, W. Rough sets theory applied to a large

    multispecies toxicity database.Proceedings of the 5-th

    International Workshop on QSAR in Environmental Toxicology,

    Duluth, Minnesota, 1992.

Ziarko, W. Analysis of uncertain information in the framework of

    variable precision rough sets model. Proceedings of the International

    Workshop on Rough Sets: State of the Art and Perspectives, Kiekrz,

    Poland, 1992, 74-77.

Arciszewski, T. Ziarko, W. Structural optimization: case-based approach.

    Computing in Civil Engineering, Journal of American 

    Society of Civil Engineers, vol. 5, no. 2, 1991, 159-174.

Szladow, A. Ziarko, W. Development of reaction engineering model by

    discovering rules from process data. Proceedings of the Workshop

    on Knowledge Discovery in Databases, AAAI National Conference on

    Artificial Intelligence, Anaheim, 1991.  

 Ziarko, W. The discovery, analysis and representation of data

    dependencies  in databases. In Piatetsky-Shapiro, G. and Frawley, W.J.

    (eds.) Knowledge Discovery in Databases, AAAI Press/ MIT Press, 1991,

    177-195.

Pawlak, Z. Wong S.K.M. Ziarko, W. Rough sets: probabilistic versus

    deterministic approach. International Journal of Man-Machine Studies,

    vol. 29, 1988, 81-95. Reprinted in Gains, B. Boose, J. (eds) Machine

    learning and uncertain reasoning, vol. 3, Academic Press, 1990, 227-242.

Arciszewski, T. Ziarko, W. Inductive learning in civil engineering: rough

    sets approach. Microcomputers and Civil Engineering. vol. 5, no. 1, 1990.

Raghavan  V.V. Wong S.K.M. Ziarko, W. Vector space model in information

    retrieval. Encyclopedia of computer science and technology.

    Marcell Dekker Inc., 1990, 423-446.

Yasdi, R. Ziarko, W. An expert system for conceptual schema design:

    a machine learning approach. International Journal of Man-Machine

    Studies, vol. 29, 1988, 351-376. Reprinted in Gains, B. Boose, J.

    (eds.) Machine learning and uncertain reasoning, vol. 3, Academic

    Press, 1990, 165-190.

Ziarko, W. Katzberg, J. Control algorithm acquisition , analysis and

    reduction. In Tzafestas, T. (ed.) Knowledge-based system

    diagnosis, supervision and control. Plenum Publishing Corp., 1989,

    167-178.

Ziarko, W. A technique for discovering and analysis of cause-effect

    relationships in empirical  data. International Joint

    Conference on Artificial Intelligence, Proceedings of the

    Workshop on Knowledge Discovery in Databases, Detroit, 1989, 390-396.

Ziarko, W. Data analysis and case-based expert system development

    tool ROUGH. Proceedings of the Case-Based Reasoning Workshop.     

    Morgan Kaufman Publishers, 1989, 356-361.

Ziarko, W. Determination of locally optimal set of features for

    representation of implicit knowledge. Proceedings of International

    Conference on Computing and Information, Toronto, North Holland,    

    1989, 433-438.

 Ziarko, W. Acquisition of design knowledge from examples.

    Mathematical and Computer Modelling, vol. 10, no. 8, 1988, 551-554.

Arciszewski, T. Ziarko, W. Verification of morphological table based on

    probabilistic rough sets approach. Particulate Science and

    Technology : An International Journal, vol. 6, no. 2, 1988, 193-205.

Arciszewski, T. Ziarko, W. Hajdo, P. Aktan, H. Inductive shallow

    approach  for generation of engineering models. Proceedings of the

    9-th European Meeting on Cybernetics and Systems Research, Vienna,

    Austria, 1988, 933-940.

Arciszewski, T. Mustafa, M. Ziarko, W. A methodology of design knowledge

    acquisition for use in learning expert systems. 

    International Journal of Man-Machine Studies, vol. 27, 1987, 23-32.

Yasdi, R. Ziarko, W. A learning expert system for conceptual schema

    design. Proceedings of the International Conference on Artificial

    Intelligence, San Sebastian, Spain, 1987. Reprinted in Cambell,

    J. Cuena J. (eds.) Perspectives in artificial  intelligence, vol. 2,

    Ellis Horwood,  1989, 162-175.

Arciszewski, T. Ziarko, W. Verification of morphological table based on

    probabilistic rough set approach. Proceedings of the

    18-th Annual Meeting of Fine Particle Society, Boston, 1987.

Ziarko, W. On reduction of knowledge representation. Proceedings

    of the 2nd International Symposium on Methodologies for Intelligent

    Systems, Colloquia Series, Charlotte, 1987, 89-99.

Yasdi, R. ziarko, W. Conceptual schema design: a machine learning

    approach. Proceedings of the 2nd International Symposium on

    Methodologies for Intelligent Systems, Charlotte, North Holland,

    1987, 379-391.

Arciszewski, T. Ziarko, W. Adaptive expert system for preliminary design

    of wind-bracings in steel skeleton structures . In Second

    Century of Skyscraper, Van Norstrand, 1987, 847-855.

Arciszewski, T. Ziarko, W. Adaptive expert system for preliminary

    engineering design. Revue Internationale de CFAO et D'Infographie,

    vol. 2, no. 1, 1987, 26-39.

Wong, S.K.M. Ziarko, W. Comparison of the probabilistic approximate

    classification and the fuzzy set model .

    International Journal for Fuzzy Sets and Systems, vol. 21, 1986, 357-362.

Wong, S.K.M. Ziarko, W., Ye, L. Comparison of rough set and statistical

    methods in inductive learning. International Journal

    of Man-Machine Studies, vol. 24, 1986, 53-72.

Wong, S.K.M. Ziarko, W. On learning and evaluation of decision  rules

    in the context of rough sets. Proceedings of the International

    Symposium on Methodologies for Intelligent Systems, Knoxville,

    1986, 308-224.

Wong, S.K.M. Ziarko, W. Algebraic versus probabilistic independence in

    decision theory. Proceedings of International Symposium on Methodologies

    for Intelligent Systems, Knoxville, 1986, 207-212.

Wong, S.K.M. Ziarko, W. INFER : an adaptive decision support system.

    Proceedings of the 6th International Workshop on Expert Systems and

    Their Applications, Avignon, France, 1986, 713-726

Wong, S.K.M. Ziarko, W. A machine learning approach to information

    retrieval. Proceedings of the 9th International Conference on

    Research and Development in Information Retrieval, Pisa, Italy,

    1986, 228-233.

Arciszewski, T. Ziarko, W. Adaptive expert system for preliminary

    engineering design. Proceedings of the 6th  International Workshop on

    Expert Systems and their Applications, Avignon, France, 1986, 695-712.

Wong, S.K.M. Ziarko, W. Algorithm for inductive learning. Bulletin

    of Polish Academy of Sciences vol. 34 no. 5, 1986, 271-276.

Wong, S.K.M. Ziarko, W. Remarks on attribute selection criterion in

    inductive learning based on rough sets. Bulletin of Polish Academy

    of Sciences, vol. 34, no. 5-6, 1986, 271-276.

Wong, S.K.M. Ziarko, W. On optimal decision rules in decision tables.   

    Bulletin of Polish Academy of Sciences vol. 33, no. 11-12, 1985, 693-696.

ROUGH SET-RELATED BOOKS

 Ziarko, W. Yao, Y. (eds.) Proc. of the Second Int. Conference on Rough Sets and Current Trends in Computing, Banff 2000, Canada, Lecture Notes in AI 2005,  Springer Verlag (in print).

Ziarko, W. (ed.) Rough Sets, Fuzzy Sets and Knowledge Discovery. Springer Verlag, 1994.

RS-RELATED THESES SUPERVISED

X.Fei  WebRank:  A WEB ranked guery system based on rough sets, 

  University of Regina, 2001

Brindle, D. Experiments with speaker-independent speech recognition using rough set

    theory. University of Regina, 1999.

Hou, Y. Rough sets approach to handwriting recognition. University of Regina, 1996.

Ning, S. Rule discovery from data using decision matrices. University of

    Regina, 1995.

Golan, R. Stock market analysis using rough sets. University of Regina,

    1995.

Lau, S. Rough and fuzzy sets in image enhancment. University of Regina,

    1994.

Zhao, Z. Rough sets approach to speech recognition. University of Regina,

    1992.

Elhadi, M. Experimental analysis of rough sets as applied to biocontrol of

    weeds. University of Regina, 1991.

Uppal, S. Computer assisted grading using trans-semantics, semantic

    grammar and machine learning. University of Regina, 1989.