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Reduct Calculation and Discretization of Numeric Attributes in Entity Attribute Value Model

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Rough Sets (IJCRS 2018)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 11103))

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Abstract

In this paper we review the problem of short reduct calculation in a sparse decision system. We also address the problem of discretization of numerical attributes in sparse decision systems. We present algorithms that provide an approximate solution to these two problems and analyze the complexity of these algorithms.

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References

  1. Hoa, N.S., Son, N.H.: Some efficient algorithms for rough set methods. In: Proceedings IPMU 1996 Granada, Spain, pp. 1541–1457 (1996)

    Google Scholar 

  2. Nguyen, H.: Discretization of real value attributes, boolean reasoning approach. Ph.D. thesis, Warsaw University (1997)

    Google Scholar 

  3. Roberts, R.J.: PubMed central: the GenBank of the published literature. Proce. Nat. Acad. Sci. U.S.A 98(2), 381–382 (2001)

    Article  Google Scholar 

  4. Skowron, A., Rauszer, C.: The discernibility matrices and functions in information systems. In: Słowiński, R. (ed.) Intelligent Decision Support. Theory and Decision Library, vol. 11, pp. 331–362. Springer, Dordrecht (1992). https://doi.org/10.1007/978-94-015-7975-9_21

    Chapter  Google Scholar 

  5. United States National Library of Medicine. Introduction to MeSH - 2011 (2011)

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  6. Wróblewski, J.: Finding minimal reducts using genetic algorithm (extended version). In: Proceedings of Second Joint Annual Conference on Information Sciences, Wrightsville Beach, North Carolina (1995)

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Correspondence to Nguyen Sinh Hoa .

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Świeboda, W., Hoa, N.S. (2018). Reduct Calculation and Discretization of Numeric Attributes in Entity Attribute Value Model. In: Nguyen, H., Ha, QT., Li, T., Przybyła-Kasperek, M. (eds) Rough Sets. IJCRS 2018. Lecture Notes in Computer Science(), vol 11103. Springer, Cham. https://doi.org/10.1007/978-3-319-99368-3_36

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  • DOI: https://doi.org/10.1007/978-3-319-99368-3_36

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-99367-6

  • Online ISBN: 978-3-319-99368-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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