Why fuzzy set theory is useful in data mining

E. Hüllermeier, in: F. Masseglia, P. Poncelet, M. Teisseire (Eds.), Successes and New Directions in Data Mining, Information Science Reference, Hershey, New York, 2007, pp. 1–16.

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Book Chapter | English
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Successes and New Directions in Data Mining
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1-16
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Hüllermeier E. Why fuzzy set theory is useful in data mining. In: Masseglia F, Poncelet P, Teisseire M, eds. Successes and New Directions in Data Mining. Information Science Reference, Hershey, New York; 2007:1-16.
Hüllermeier, E. (2007). Why fuzzy set theory is useful in data mining. In F. Masseglia, P. Poncelet, & M. Teisseire (Eds.), Successes and New Directions in Data Mining (pp. 1–16). Information Science Reference, Hershey, New York.
@inbook{Hüllermeier_2007, title={Why fuzzy set theory is useful in data mining}, booktitle={Successes and New Directions in Data Mining}, publisher={Information Science Reference, Hershey, New York}, author={Hüllermeier, Eyke}, editor={Masseglia, F. and Poncelet, P. and Teisseire, M.Editors}, year={2007}, pages={1–16} }
Hüllermeier, Eyke. “Why Fuzzy Set Theory Is Useful in Data Mining.” In Successes and New Directions in Data Mining, edited by F. Masseglia, P. Poncelet, and M. Teisseire, 1–16. Information Science Reference, Hershey, New York, 2007.
E. Hüllermeier, “Why fuzzy set theory is useful in data mining,” in Successes and New Directions in Data Mining, F. Masseglia, P. Poncelet, and M. Teisseire, Eds. Information Science Reference, Hershey, New York, 2007, pp. 1–16.
Hüllermeier, Eyke. “Why Fuzzy Set Theory Is Useful in Data Mining.” Successes and New Directions in Data Mining, edited by F. Masseglia et al., Information Science Reference, Hershey, New York, 2007, pp. 1–16.

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