Fuzzy rules in data mining: From fuzzy associations to gradual dependencies
E. Hüllermeier, in: E. Trillas, P.P. Bonissone, L. Magdalena, J. Kacprzyk (Eds.), Combining Experimentation and Theory, Springer, 2012, pp. 123–135.
Download
No fulltext has been uploaded.
Book Chapter
| English
Author
Book Editor
Trillas, E.;
Bonissone, P.P.;
Magdalena, L.;
Kacprzyk, J.
Department
Publishing Year
Book Title
Combining Experimentation and Theory
Series Title / Volume
Studies in Fuzziness and Soft Computing
Volume
271
Page
123-135
LibreCat-ID
Cite this
Hüllermeier E. Fuzzy rules in data mining: From fuzzy associations to gradual dependencies. In: Trillas E, Bonissone PP, Magdalena L, Kacprzyk J, eds. Combining Experimentation and Theory. Vol 271. Studies in Fuzziness and Soft Computing. Springer; 2012:123-135.
Hüllermeier, E. (2012). Fuzzy rules in data mining: From fuzzy associations to gradual dependencies. In E. Trillas, P. P. Bonissone, L. Magdalena, & J. Kacprzyk (Eds.), Combining Experimentation and Theory (Vol. 271, pp. 123–135). Springer.
@inbook{Hüllermeier_2012, series={Studies in Fuzziness and Soft Computing}, title={Fuzzy rules in data mining: From fuzzy associations to gradual dependencies}, volume={271}, booktitle={Combining Experimentation and Theory}, publisher={Springer}, author={Hüllermeier, Eyke}, editor={Trillas, E. and Bonissone, P.P. and Magdalena, L. and Kacprzyk, J.Editors}, year={2012}, pages={123–135}, collection={Studies in Fuzziness and Soft Computing} }
Hüllermeier, Eyke. “Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies.” In Combining Experimentation and Theory, edited by E. Trillas, P.P. Bonissone, L. Magdalena, and J. Kacprzyk, 271:123–35. Studies in Fuzziness and Soft Computing. Springer, 2012.
E. Hüllermeier, “Fuzzy rules in data mining: From fuzzy associations to gradual dependencies,” in Combining Experimentation and Theory, vol. 271, E. Trillas, P. P. Bonissone, L. Magdalena, and J. Kacprzyk, Eds. Springer, 2012, pp. 123–135.
Hüllermeier, Eyke. “Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies.” Combining Experimentation and Theory, edited by E. Trillas et al., vol. 271, Springer, 2012, pp. 123–35.