Hüllermeier, Eyke
ORCID: https://orcid.org/0000-0002-9944-4108
(2008):
Fuzzy Methods for Data Mining and Machine Learning: State of the Art and Prospects.
In: Bustince, Humberto; Herrera, Francisco und Montero, Javier (eds.) :
Fuzzy Sets and Their Extensions: Representation, Aggregation and Models. Studies in Fuzziness and Soft Computing, Vol. 220. Berlin, Heidelberg: Springer. pp. 357-375
| Item Type: | Book Section |
|---|---|
| Faculties: | Mathematics, Computer Science and Statistics > Computer Science > Artificial Intelligence and Machine Learning |
| Subjects: | 000 Computer science, information and general works > 004 Data processing computer science |
| ISBN: | 978-3-540-73722-3 ; 978-3-642-09290-9 ; 978-3-540-73723-0 |
| Place of Publication: | Berlin, Heidelberg |
| Language: | English |
| Item ID: | 91845 |
| Date Deposited: | 07. Apr 2022 07:35 |
| Last Modified: | 07. Apr 2022 07:35 |
Actions (login required)
- View Item
