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2018 | OriginalPaper | Chapter

Optimization of Approximate Decision Rules Relative to Length

Authors : Beata Zielosko, Krzysztof Żabiński

Published in: Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety

Publisher: Springer International Publishing

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Abstract

In the paper, a modified dynamic programming approach for optimization of decision rules relative to length is studied. Experimental results connected with length of approximate decision rules, size of a directed acyclic graph, and accuracy of classifiers, are presented.

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Alkhalid, A., Amin, T., Chikalov, I., Hussain, S., Moshkov, M., Zielosko, B.: Optimization and analysis of decision trees and rules: dynamic programming approach. Int. J. Gen. Syst. 42(6), 614–634 (2013)MathSciNetCrossRef

Amin, T., Chikalov, I., Moshkov, M., Zielosko, B.: Dynamic programming approach for partial decision rule optimization. Fundam. Inform. 119(3–4), 233–248 (2012)MathSciNetMATH

Asuncion, A., Newman, D.J.: UCI Machine Learning Repository (2007). http://www.ics.uci.edu/~mlearn/

Błaszczyński, J., Słowiński, R., Szela̧g, M.: Sequential covering rule induction algorithm for variable consistency rough set approaches. Inf. Sci. 181(5), 987–1002 (2011)MathSciNetCrossRef

Fürnkranz, J.: Separate-and-conquer rule learning. Artif. Intell. Rev. 13(1), 3–54 (1999)CrossRef

Moshkov, M., Zielosko, B.: Combinatorial Machine Learning - A Rough Set Approach. Studies in Computational Intelligence, vol. 360. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-20995-6CrossRefMATH

Pawlak, Z., Skowron, A.: Rough sets and boolean reasoning. Inf. Sci. 177(1), 41–73 (2007)MathSciNetCrossRef

Rissanen, J.: Modeling by shortest data description. Automatica 14(5), 465–471 (1978)CrossRef

Stańczyk, U., Zielosko, B.: On combining discretisation parameters and attribute ranking for selection of decision rules. In: Polkowski, L. (ed.) IJCRS 2017. LNCS, vol. 10313, pp. 329–349. Springer, Cham (2017). https://doi.org/10.1007/978-3-319-60837-2_28CrossRef

10.

Stefanowski, J., Vanderpooten, D.: Induction of decision rules in classification and discovery-oriented perspectives. Int. J. Intell. Syst. 16(1), 13–27 (2001)CrossRef

11.

Wróbel, Ł., Sikora, M., Michalak, M.: Rule quality measures settings in classification, regression and survival rule induction - an empirical approach. Fundam. Inform. 149(4), 419–449 (2016)MathSciNetCrossRef

12.

Zielosko, B.: Optimization of approximate decision rules relative to coverage. In: Kozielski, S., Mrozek, D., Kasprowski, P., Małysiak-Mrozek, B., Kostrzewa, D. (eds.) BDAS 2014. CCIS, vol. 424, pp. 170–179. Springer, Cham (2014). https://doi.org/10.1007/978-3-319-06932-6_17CrossRef

13.

Zielosko, B.: Optimization of exact decision rules relative to length. In: Czarnowski, I., Howlett, R.J., Jain, L.C. (eds.) IDT 2017. SIST, vol. 72, pp. 149–158. Springer, Cham (2018). https://doi.org/10.1007/978-3-319-59421-7_14CrossRef

Title: Optimization of Approximate Decision Rules Relative to Length
Authors: Beata Zielosko
Krzysztof Żabiński
Publisher: Springer International Publishing
Book: Beyond Databases, Architectures and Structures. Facing the Challenges of Data Proliferation and Growing Variety
Print ISBN: 978-3-319-99986-9

Electronic ISBN: 978-3-319-99987-6

Copyright Year: 2018
DOI: https://doi.org/10.1007/978-3-319-99987-6_13

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