Fuzzy methods for data mining and machine learning: State of the art and prospects

E. Hüllermeier, in: Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, Springer, 2007, pp. 355–374.

Download
No fulltext has been uploaded.
Book Chapter | English
Publishing Year
Book Title
Fuzzy Sets and their Extensions: Representation, Aggregation and Models
Page
355-374
LibreCat-ID

Cite this

Hüllermeier E. Fuzzy methods for data mining and machine learning: State of the art and prospects. In: Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Springer; 2007:355-374.
Hüllermeier, E. (2007). Fuzzy methods for data mining and machine learning: State of the art and prospects. In Fuzzy Sets and their Extensions: Representation, Aggregation and Models (pp. 355–374). Springer.
@inbook{Hüllermeier_2007, title={Fuzzy methods for data mining and machine learning: State of the art and prospects}, booktitle={Fuzzy Sets and their Extensions: Representation, Aggregation and Models}, publisher={Springer}, author={Hüllermeier, Eyke}, year={2007}, pages={355–374} }
Hüllermeier, Eyke. “Fuzzy Methods for Data Mining and Machine Learning: State of the Art and Prospects.” In Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, 355–74. Springer, 2007.
E. Hüllermeier, “Fuzzy methods for data mining and machine learning: State of the art and prospects,” in Fuzzy Sets and their Extensions: Representation, Aggregation and Models, Springer, 2007, pp. 355–374.
Hüllermeier, Eyke. “Fuzzy Methods for Data Mining and Machine Learning: State of the Art and Prospects.” Fuzzy Sets and Their Extensions: Representation, Aggregation and Models, Springer, 2007, pp. 355–74.

Export

Marked Publications

Open Data LibreCat

Search this title in

Google Scholar