Data Mining in Finance: Advances in Relational and Hybrid Methods - The Springer International Series in Engineering and Computer Science - Boris Kovalerchuk - Bøker - Springer-Verlag New York Inc. - 9781475773323 - 20. mars 2013
Ved uoverensstemmelse mellom cover og tittel gjelder tittel

Data Mining in Finance: Advances in Relational and Hybrid Methods - The Springer International Series in Engineering and Computer Science Softcover reprint of the original 1st ed. 2002 edition

Boris Kovalerchuk

Pris
zł 769,90

Bestillingsvarer

Forventes levert 1. - 11. aug

Kundene våre sier:

14 dages returrett
Toppvurdering på Trustpilot
Legg til iMusic ønskeliste
Eller

Finnes også som:

Data Mining in Finance: Advances in Relational and Hybrid Methods - The Springer International Series in Engineering and Computer Science Softcover reprint of the original 1st ed. 2002 edition

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.

308 pages, biography

Media Bøker     Pocketbok   (Bok med mykt omslag og limt rygg)
Utgitt 20. mars 2013
ISBN13 9781475773323
Utgivere Springer-Verlag New York Inc.
Antall sider 308
Mål 155 × 235 × 18 mm   ·   458 g
Språk Engelsk  
Vis alle

Mer med Boris Kovalerchuk

Se alt med Boris Kovalerchuk ( f.eks. Innbunden bok og Pocketbok )