Abstract
We investigate association reducts, which extend previously studied information and decision reducts in capability of expressing compound, multi-attribute dependencies in data. We provide Boolean, discernibility-based representation for most informative association reducts.
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References
Agrawal, R., Mannila, H., Srikant, R., Toivonen, H., Verkamo, A.I.: Fast discovery of assocation rules. In: Advances in Knowledge Discovery and Data Mining, pp. 307–328. AAAI/MIT Press (1996)
Baldi, P., Hatfield, W.G.: DNA Microarrays and Gene Expression: From Experiments to Data Analysis and Modeling. Cambridge University Press, Cambridge (2002)
Bazan, J., Nguyen, H.S., Nguyen, S.H., Synak, P., Wróblewski, J.: Rough Set Algorithms in Classification Problem. In: Rough Set Methods and Applications, pp. 49–88. Physica Verlag (2000)
Brown, E.M.: Boolean reasoning. Kluwer, Dordrecht (1990)
Grużdź, A., Ihnatowicz, A., Ślȩzak, D.: Interactive gene clustering – a case study of breast cancer microarray data. In: Information Systems Frontiers 8, pp. 21–27. Springer, Heidelberg (2006)
Kloesgen, W., Żytkow, J.M. (eds.): Handbook of Data Mining and Knowledge Discovery. Oxford University Press, Oxford (2002)
Nguyen, H.S., Nguyen, S.H.: Rough Sets and Association Rule Generation. Fundamenta Informaticae 40(4), 310–318 (1999)
Pawlak, Z.: Rough sets – Theoretical aspects of reasoning about data. Kluwer, Dordrecht (1991)
Skowron, A., Rauszer, C.: The discernibility matrices and functions in information systems. In: Intelligent Decision Support. Handbook of Applications and Advances of the Rough Set Theory, pp. 311–362. Kluwer Academic Publishers, Dordrecht (1992)
Ślȩzak, D.: Approximate Entropy Reducts. Fundamenta Informaticae 53(3-4), 365–390 (2002)
Ślȩzak, D.: Association Reducts: A Framework for Mining Multi-attribute Dependencies. In: Hacid, M.-S., Murray, N.V., Raś, Z.W., Tsumoto, S. (eds.) ISMIS 2005. LNCS (LNAI), vol. 3488, pp. 354–363. Springer, Heidelberg (2005)
Ślȩzak, D.: Association Reducts: Complexity and Heuristics. In: Greco, S., Hata, Y., Hirano, S., Inuiguchi, M., Miyamoto, S., Nguyen, H.S., Słowiński, R. (eds.) RSCTC 2006. LNCS (LNAI), vol. 4259, Springer, Heidelberg (2006)
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Ślęzak, D. (2006). Association Reducts: Boolean Representation. In: Wang, GY., Peters, J.F., Skowron, A., Yao, Y. (eds) Rough Sets and Knowledge Technology. RSKT 2006. Lecture Notes in Computer Science(), vol 4062. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11795131_44
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DOI: https://doi.org/10.1007/11795131_44
Publisher Name: Springer, Berlin, Heidelberg
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