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Action Rules and the GUHA Method: Preliminary Considerations and Results

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Foundations of Intelligent Systems (ISMIS 2009)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 5722))

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Abstract

The paper presents an alternative approach to action rules. The presented approach is based on experience with the GUHA method and the LISp-Miner system. G-action rules are introduced. First experience with new GUHA procedure Ac4ft-Miner that mines for G-action rules is described.

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References

  1. Aggraval, R., et al.: Fast Discovery of Association Rules. In: Fayyad, U.M., et al. (eds.) Advances in Knowledge Discovery and Data Mining. AAAI Press, Menlo Park (1996)

    Google Scholar 

  2. Hájek, P. (guest editor): International Journal of Man-Machine Studies. special issue on GUHA 10 (1978)

    Google Scholar 

  3. Hájek, P., Havránek, T.: Mechanizing Hypothesis Formation (Mathematical Foundations for a General Theory). Springer, Heidelberg (1978)

    Book  MATH  Google Scholar 

  4. Ras, Z., Wieczorkowska, A.: Action-Rules: How to Increase Profit of a Company. In: Zighed, D.A., Komorowski, J., Żytkow, J.M. (eds.) PKDD 2000. LNCS (LNAI), vol. 1910, pp. 587–592. Springer, Heidelberg (2000)

    Chapter  Google Scholar 

  5. Ras, Z., Tsay, L.: Discovering the Concise Set of Actionable Patterns. In: An, A., Matwin, S., Raś, Z.W., Ślęzak, D. (eds.) Foundations of Intelligent Systems. LNCS (LNAI), vol. 4994, pp. 169–178. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  6. Seunghyun, I., Ras, Z.: Action Rule Extraction from a Decision Table: ARED. In: An, A., Matwin, S., Raś, Z.W., Ślęzak, D. (eds.) Foundations of Intelligent Systems. LNCS (LNAI), vol. 4994, pp. 160–168. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  7. E-Action Rules, System DEAR. In: Lin, T.Y., et al. (eds.) Data Mining: Foundations and Practice. Studies in Computational Intelligence, vol. 118, pp. 289–298. Springer, Heidelberg

    Google Scholar 

  8. Rauch, J.: Some Remarks on Computer Realisations of GUHA Procedures. International Journal of Man-Machine Studies 10, 23–28 (1978)

    Article  Google Scholar 

  9. Rauch, J.: Logic of Association Rules. Applied Intelligence 22, 9–28 (2005)

    Article  MATH  Google Scholar 

  10. Rauch, J.: An Alternative Approach to Mining Association Rules. In: Lin, T.Y., et al. (eds.) Data Mining: Foundations, Methods, and Applications, pp. 219–238. Springer, Heidelberg (2005)

    Google Scholar 

  11. Rauch, J., Šimůnek, M.: GUHA Method and Granular Computing. In: Hu, X., et al. (eds.) Proceedings of IEEE conference Granular Computing (2005)

    Google Scholar 

  12. Rauch, J., Tomečková, M.: System of Analytical Questions and Reports on Mining in Health Data – a Case Study. In: Roth, J., et al. (eds.) Proceedings of IADIS European Conference Data Mining 2007, pp. 176–181. IADIS Press (2007)

    Google Scholar 

  13. Šimůnek, M.: Academic KDD Project LISp-Miner. In: Abraham, A., et al. (eds.) Advances in Soft Computing - Intelligent Systems Design and Applications. Springer, Heidelberg (2003)

    Google Scholar 

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Rauch, J., Šimůnek, M. (2009). Action Rules and the GUHA Method: Preliminary Considerations and Results. In: Rauch, J., Raś, Z.W., Berka, P., Elomaa, T. (eds) Foundations of Intelligent Systems. ISMIS 2009. Lecture Notes in Computer Science(), vol 5722. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04125-9_11

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  • DOI: https://doi.org/10.1007/978-3-642-04125-9_11

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04124-2

  • Online ISBN: 978-3-642-04125-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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