Uncertainty Modeling for Data Mining A Label Semantics Approach /

Uncertainty Modeling for Data Mining A Label Semantics Approach /

Machine learning and data mining are inseparably connected with uncertainty. The observable data for learning is usually imprecise, incomplete or noisy. Uncertainty Modeling for Data Mining: A Label Semantics Approach introduces 'label semantics', a fuzzy-logic-based theory for modeling un...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Qin, Zengchang (Συγγραφέας), Tang, Yongchuan (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2014.
Σειρά:	Advanced Topics in Science and Technology in China,
Θέματα:	Computer science. Computer science > Mathematics. Computers. Data mining. Artificial intelligence. Computer Science. Data Mining and Knowledge Discovery. Artificial Intelligence (incl. Robotics). Information Systems and Communication Service. Math Applications in Computer Science.
Διαθέσιμο Online:	Full Text via HEAL-Link

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