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Some Comparative Analyses of Data in the RSDS System

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Rough Set and Knowledge Technology (RSKT 2010)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 6401))

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Abstract

The paper concerns the analysis of the data included in the Rough Set Database System (called in short the RSDS system). The data is analyzed by means of statistical and graph-theoretical methods. The results of the analysis show interesting relations among the authors of publications whose descriptions are included in the system. The results may be useful for determining the structure of research groups related to the rough sets, the scientific interests of the members of those groups, mutual collaboration between groups, as well as for identifying the trends appearing in research.

This work has been partially supported by the grant N N516 368334 from Ministry of Science and Higher Education of the Republic of Poland.

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References

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Author information

Authors and Affiliations

  1. Chair of Computer Science, University of Rzeszów, Poland

    Zbigniew Suraj & Piotr Grochowalski

Authors
  1. Zbigniew Suraj
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  2. Piotr Grochowalski
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Editor information

Editors and Affiliations

  1. School of Computer and Information Technology, Beijing Jiaotong University, 100044, Beijing, China

    Jian Yu

  2. Faculty of Economics, University of Catania, Corso Italia, 55, 95129, Catania, Italy

    Salvatore Greco

  3. Department of Mathematics and Computing Science, Saint Mary’s University, B3H 3C3, Halifax, Nova Scotia, Canada

    Pawan Lingras

  4. Institute of Computer Science and Technology, Chongqing University of Posts and Telecommunications, 400065, Chongqing, China

    Guoyin Wang

  5. Institute of Mathematics, Warsaw University, Banacha 2, 02-097, Warsaw, Poland

    Andrzej Skowron

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Suraj, Z., Grochowalski, P. (2010). Some Comparative Analyses of Data in the RSDS System. In: Yu, J., Greco, S., Lingras, P., Wang, G., Skowron, A. (eds) Rough Set and Knowledge Technology. RSKT 2010. Lecture Notes in Computer Science(), vol 6401. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-16248-0_7

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  • DOI: https://doi.org/10.1007/978-3-642-16248-0_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-16247-3

  • Online ISBN: 978-3-642-16248-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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