{"date_created":"2019-06-07T09:20:45Z","series_title":"Studies in Fuzziness and Soft Computing","editor":[{"first_name":"E.","full_name":"Trillas, E.","last_name":"Trillas"},{"last_name":"Bonissone","full_name":"Bonissone, P.P.","first_name":"P.P."},{"last_name":"Magdalena","full_name":"Magdalena, L.","first_name":"L."},{"full_name":"Kacprzyk, J.","last_name":"Kacprzyk","first_name":"J."}],"status":"public","date_updated":"2022-01-06T06:50:31Z","page":"123-135","publication":"Combining Experimentation and Theory","_id":"10153","citation":{"mla":"Hüllermeier, Eyke. “Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies.” <i>Combining Experimentation and Theory</i>, edited by E. Trillas et al., vol. 271, Springer, 2012, pp. 123–35.","short":"E. Hüllermeier, in: E. Trillas, P.P. Bonissone, L. Magdalena, J. Kacprzyk (Eds.), Combining Experimentation and Theory, Springer, 2012, pp. 123–135.","ama":"Hüllermeier E. Fuzzy rules in data mining: From fuzzy associations to gradual dependencies. In: Trillas E, Bonissone PP, Magdalena L, Kacprzyk J, eds. <i>Combining Experimentation and Theory</i>. Vol 271. Studies in Fuzziness and Soft Computing. Springer; 2012:123-135.","bibtex":"@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} }","apa":"Hüllermeier, E. (2012). Fuzzy rules in data mining: From fuzzy associations to gradual dependencies. In E. Trillas, P. P. Bonissone, L. Magdalena, &#38; J. Kacprzyk (Eds.), <i>Combining Experimentation and Theory</i> (Vol. 271, pp. 123–135). Springer.","ieee":"E. Hüllermeier, “Fuzzy rules in data mining: From fuzzy associations to gradual dependencies,” in <i>Combining Experimentation and Theory</i>, vol. 271, E. Trillas, P. P. Bonissone, L. Magdalena, and J. Kacprzyk, Eds. Springer, 2012, pp. 123–135.","chicago":"Hüllermeier, Eyke. “Fuzzy Rules in Data Mining: From Fuzzy Associations to Gradual Dependencies.” In <i>Combining Experimentation and Theory</i>, edited by E. Trillas, P.P. Bonissone, L. Magdalena, and J. Kacprzyk, 271:123–35. Studies in Fuzziness and Soft Computing. Springer, 2012."},"intvolume":"       271","user_id":"49109","language":[{"iso":"eng"}],"publisher":"Springer","type":"book_chapter","department":[{"_id":"34"},{"_id":"7"},{"_id":"355"}],"author":[{"id":"48129","first_name":"Eyke","full_name":"Hüllermeier, Eyke","last_name":"Hüllermeier"}],"volume":271,"year":"2012","title":"Fuzzy rules in data mining: From fuzzy associations to gradual dependencies"}