Data Mining in Finance Advances in Relational and Hybrid Methods /

Data Mining in Finance Advances in Relational and Hybrid Methods /

Data Mining in Finance presents a comprehensive overview of major algorithmic approaches to predictive data mining, including statistical, neural networks, ruled-based, decision-tree, and fuzzy-logic methods, and then examines the suitability of these approaches to financial data mining. The book fo...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Κύριοι συγγραφείς:	Kovalerchuk, Boris (Συγγραφέας), Vityaev, Evgenii (Συγγραφέας)
Συγγραφή απο Οργανισμό/Αρχή:	SpringerLink (Online service)
Μορφή:	Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:	English
Έκδοση:	Boston, MA : Springer US, 2002.
Σειρά:	The International Series in Engineering and Computer Science, 547
Θέματα:	Computer science. Finance. Data structures (Computer science). Artificial intelligence. Computer Science. Data Structures, Cryptology and Information Theory. Artificial Intelligence (incl. Robotics). Finance, general.
Διαθέσιμο Online:	Full Text via HEAL-Link

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