Spar
Data Mining in Finance
Forfatter:
heftet, 2013
Engelsk
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.
- Undertittel
- Advances in Relational and Hybrid Methods
- Forfatter
- Boris Kovalerchuk, Evgenii Vityaev
- Opplag
- Softcover reprint of the original 1st ed. 2002
- ISBN
- 9781475773323
- Språk
- Engelsk
- Vekt
- 310 gram
- Utgivelsesdato
- 20.3.2013
- Antall sider
- 308
