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Volumn 3100, Issue , 2004, Pages 120-143

Towards scalable algorithms for discovering rough set reducts

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EID: 35048893752     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-27794-1_5     Document Type: Article
Times cited : (22)

References (31)
  • 2
    • 0042656300 scopus 로고
    • Dynamic Reducts as a Tool for Extracting Laws from Decision Tables
    • Charlotte, USA. LNAI, Springer-Verlag
    • Bazan, J., Skowron, A., Synak, P.: Dynamic Reducts as a Tool for Extracting Laws from Decision Tables. In: Proc. of ISMIS '94, Charlotte, USA. LNAI, Vol. 869, Springer-Verlag, (1994) 346-355
    • (1994) Proc. of ISMIS '94 , vol.869 , pp. 346-355
    • Bazan, J.1    Skowron, A.2    Synak, P.3
  • 3
    • 0038404485 scopus 로고    scopus 로고
    • Rough Set Algorithms in Classification Problem
    • L. Polkowski, S. Tsumoto and T.Y. Lin (eds.): Physica-Verlag, Heidelberg, New York
    • Bazan, J., Nguyen, H.S., Nguyen, S.H., Synak, P., Wróblewski, J.: Rough Set Algorithms in Classification Problem. In: L. Polkowski, S. Tsumoto and T.Y. Lin (eds.): Rough Set Methods and Applications. Physica-Verlag, Heidelberg, New York (2000) 49-88
    • (2000) Rough Set Methods and Applications , pp. 49-88
    • Bazan, J.1    Nguyen, H.S.2    Nguyen, S.H.3    Synak, P.4    Wróblewski, J.5
  • 4
    • 3142716545 scopus 로고    scopus 로고
    • Comparative Study of Feature Subset Selection Techniques for Machine Learning Tasks
    • Malbork, Poland
    • Jelonek, J., Krawiec, K., Stefanowski, J.: Comparative Study of Feature Subset Selection Techniques for Machine Learning Tasks. Proc. of IIS '98, Malbork, Poland (1998) 68-77
    • (1998) Proc. of IIS '98 , pp. 68-77
    • Jelonek, J.1    Krawiec, K.2    Stefanowski, J.3
  • 5
    • 85099325734 scopus 로고
    • Irrelevant Features and the Subset Selection Problem. In: Machine Learning
    • Morgan Kaufmann Publishers, San Francisco, CA
    • John, H.G., Kohavi, R., Pfleger, K.: Irrelevant Features and the Subset Selection Problem. In: Machine Learning: Proc. of the Eleventh International Conference, Morgan Kaufmann Publishers, San Francisco, CA, (1994) 121-129
    • (1994) Proc. of the Eleventh International Conference , pp. 121-129
    • John, H.G.1    Kohavi, R.2    Pfleger, K.3
  • 8
    • 0030217714 scopus 로고    scopus 로고
    • Finding Reducts in Composed Information Systems
    • Kryszkiewicz, M., Rybinski, H.: Finding Reducts in Composed Information Systems. Fundamenta Informaticae Vol. 27, No. 2-3 (1996) 183-196
    • (1996) Fundamenta Informaticae , vol.27 , Issue.2-3 , pp. 183-196
    • Kryszkiewicz, M.1    Rybinski, H.2
  • 9
    • 0343539515 scopus 로고    scopus 로고
    • Strong Rules in Large Databases
    • Paris, France
    • Kryszkiewicz, M.: Strong Rules in Large Databases. In: Proc. of IPMU' 98, Paris, France, Vol. 2 (1998) 1520-1527
    • (1998) Proc. of IPMU' 98 , vol.2 , pp. 1520-1527
    • Kryszkiewicz, M.1
  • 10
    • 0347394111 scopus 로고    scopus 로고
    • Knowledge Discovery from Large Databases using Rough Sets
    • Aachen, Germany
    • Kryszkiewicz M., Rybinski H.: Knowledge Discovery from Large Databases using Rough Sets. In: Proc. of EUFIT '98, Aachen, Germany, Vol. 1 (1998) 85-89
    • (1998) Proc. of EUFIT '98 , vol.1 , pp. 85-89
    • Kryszkiewicz, M.1    Rybinski, H.2
  • 11
    • 0035156139 scopus 로고    scopus 로고
    • Comparative Study of Alternative Types of Knowledge Reduction in Inconsistent Systems
    • Wiley
    • Kryszkiewicz, M.: Comparative Study of Alternative Types of Knowledge Reduction in Inconsistent Systems. International Journal of Intelligent Systems, Wiley, Vol. 16, No. 1 (2001) 105-120
    • (2001) International Journal of Intelligent Systems , vol.16 , Issue.1 , pp. 105-120
    • Kryszkiewicz, M.1
  • 12
    • 16244367061 scopus 로고    scopus 로고
    • Rough Set Approach to Rules Generation from Incomplete Information Systems
    • Marcel Dekker, Inc., New York
    • Kryszkiewicz, M.: Rough Set Approach to Rules Generation from Incomplete Information Systems. In: The Encyclopedia of Computer Science and Technology. Marcel Dekker, Inc., New York, Vol. 44 (2001) 319-346
    • (2001) The Encyclopedia of Computer Science and Technology , vol.44 , pp. 319-346
    • Kryszkiewicz, M.1
  • 13
    • 35048882674 scopus 로고    scopus 로고
    • Scalable Methods of Discovering Rough Sets Reducts
    • Warsaw University of Technology
    • Kryszkiewicz, M., Cichoń K.: Scalable Methods of Discovering Rough Sets Reducts. ICS Research Report 28/2003, Warsaw University of Technology (2003)
    • (2003) ICS Research Report , vol.28-2003
    • Kryszkiewicz, M.1    Cichoń, K.2
  • 14
    • 0343975288 scopus 로고    scopus 로고
    • Rough Set Theory in Very Large Databases
    • Lille, France
    • Lin, T.Y.: Rough Set Theory in Very Large Databases. In: Proc. of CESA IMACS '96, Lille, France Vol. 2 (1996) 936-941
    • (1996) Proc. of CESA IMACS '96 , vol.2 , pp. 936-941
    • Lin, T.Y.1
  • 16
    • 0002642616 scopus 로고    scopus 로고
    • Knowledge Discovery in Databases: Rough Set Approach
    • Prague
    • Nguyen, S.H., Skowron, A., Synak, P., Wróblewski, J.: Knowledge Discovery in Databases: Rough Set Approach. In: Proc. of IFSA '97, Prague, Vol. II (1997) 204-209
    • (1997) Proc. of IFSA '97 , vol.2 , pp. 204-209
    • Nguyen, S.H.1    Skowron, A.2    Synak, P.3    Wróblewski, J.4
  • 18
    • 0041624653 scopus 로고
    • A Rough Set Approach to Decision Rules Generation
    • Warsaw University of Technology
    • Pawlak, Z., Skowron, A.: A Rough Set Approach to Decision Rules Generation, ICS Research Report 23/93, Warsaw University of Technology (1993)
    • (1993) ICS Research Report , vol.23-93
    • Pawlak, Z.1    Skowron, A.2
  • 19
    • 0346659790 scopus 로고
    • Operations on Families of Sets for Exhaustive Search, Given a Monotonic Boolean Function
    • Israel
    • Romanski, S., Operations on Families of Sets for Exhaustive Search, Given a Monotonic Boolean Function. In: Proc. of Intl' Conf. on Data and Knowledge Bases, Israel (1988)
    • (1988) Proc. of Intl' Conf. on Data and Knowledge Bases
    • Romanski, S.1
  • 21
    • 0003049545 scopus 로고    scopus 로고
    • Information Granulation and Pattern Recognition
    • S.K. Pal, L. Polkowski, A. Skowron (eds.): Heidelberg: Springer-Verlag
    • Skowron, A., Swiniarski, R.W.: Information Granulation and Pattern Recognition. In: S.K. Pal, L. Polkowski, A. Skowron (eds.): Rough-Neural Computing. Techniques for Computing with Words. Heidelberg: Springer-Verlag (2004)
    • (2004) Rough-Neural Computing. Techniques for Computing with Words
    • Skowron, A.1    Swiniarski, R.W.2
  • 22
    • 0012606338 scopus 로고    scopus 로고
    • Approximate Reducts in Decision Tables
    • Granada, Spain
    • Slezak, D.: Approximate Reducts in Decision Tables. In: Proc. of IPMU '96, Granada, Spain, Vol. 3 (1996) 1159-1164
    • (1996) Proc. of IPMU '96 , vol.3 , pp. 1159-1164
    • Slezak, D.1
  • 23
    • 84947715066 scopus 로고    scopus 로고
    • Searching for Frequential Reducts in Decision Tables with Uncertain Objects
    • Warsaw. Springer-Verlag, Berlin
    • Slezak, D.: Searching for Frequential Reducts in Decision Tables with Uncertain Objects. In: Proc. of RSCTC '98, Warsaw. Springer-Verlag, Berlin (1998) 52-59
    • (1998) Proc. of RSCTC '98 , pp. 52-59
    • Slezak, D.1
  • 25
    • 3142704913 scopus 로고    scopus 로고
    • Approximation Spaces, Reducts and Representatives
    • Skowron, A., Polkowski, L. (eds.): Springer-Verlag, Berlin
    • Stepaniuk, J.: Approximation Spaces, Reducts and Representatives. In: Skowron, A., Polkowski, L. (eds.): Rough Sets in Data Mining and Knowledge Discovery, Springer-Verlag, Berlin (1998)
    • (1998) Rough Sets in Data Mining and Knowledge Discovery
    • Stepaniuk, J.1
  • 26
    • 0038368681 scopus 로고    scopus 로고
    • Experiments in Incremental Computation of Reducts
    • Skowron, A., Polkowski, L., (eds.): Springer-Verlag, Berlin
    • Susmaga, R.: Experiments in Incremental Computation of Reducts. In: Skowron, A., Polkowski, L., (eds.): Rough Sets in Data Mining and Knowledge Discovery, Springer-Verlag, Berlin (1998)
    • (1998) Rough Sets in Data Mining and Knowledge Discovery
    • Susmaga, R.1
  • 27
    • 84947768086 scopus 로고    scopus 로고
    • Parallel Computation of Reducts
    • Warsaw. Springer-Verlag, Berlin
    • Susmaga, R.: Parallel Computation of Reducts. In: Proc. of RSCTC '98, Warsaw. Springer-Verlag, Berlin (1998) 450-457
    • (1998) Proc. of RSCTC '98 , pp. 450-457
    • Susmaga, R.1
  • 29
    • 0347290102 scopus 로고    scopus 로고
    • Effective Tests for Inclusion Minimality in Reduct Generation
    • Susmaga, R.: Effective Tests for Inclusion Minimality in Reduct Generation. In: Foundations of Computing and Decision Sciences, Vol. 4, No. 23 (1998) 219-240
    • (1998) Foundations of Computing and Decision Sciences , vol.4 , Issue.23 , pp. 219-240
    • Susmaga, R.1
  • 30
    • 9444260356 scopus 로고
    • M.Sc. Thesis, Institute of Mathematics, Warsaw University, Warsaw
    • Tannhäuser, M.: Efficient Reduct Computation. M.Sc. Thesis, Institute of Mathematics, Warsaw University, Warsaw (1994)
    • (1994) Efficient Reduct Computation
    • Tannhäuser, M.1


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