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Datamining Und Computational Finance (English, Georg Bol | Gholamreza Nakhaeizadeh | Karl-Heinz Vollmer)
Physica-Verlag

Datamining Und Computational Finance (English, Georg Bol | Gholamreza Nakhaeizadeh | Karl-Heinz Vollmer)

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Specifications

PublisherPhysica-Verlag
LanguageEnglish
ISBN-139783790812848
ISBN-103790812846
AuthorGeorg Bol | Gholamreza Nakhaeizadeh | Karl-Heinz Vollmer

Product Description

About the Book

Der Schwerpunkt des siebten Karlsruher Ökonometrie-Workshops lag auf der Anwendung Neuronaler Netze bei Finanzzeitreihen, dem Einsatz von Datamining und Maschinellen Lernverfahren bei Fragestellungen des Finanzbereichs und quantitativen Methoden zur Beurteilung von Markt- und Länderrisiken. Das Spektrum ausgewählter Referate in diesem Buch, u.a. auch von international renommierten Experten, reicht von allgemeinen Betrachtungen zur Prognose mit Ne…

ISBN: 9783790812848

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  • ·In-depth exploration of topics covered in Datamining Und Computational Finance
  • ·Key concepts explained with clarity and practical examples
  • ·Insights valuable for anyone studying or working in Physica-Verlag

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Datamining Und Computational Finance is available in English on GlowMirror.
Who is the author of Datamining Und Computational Finance?
Datamining Und Computational Finance is authored by Georg Bol | Gholamreza Nakhaeizadeh | Karl-Heinz Vollmer.
Who published Datamining Und Computational Finance?
Datamining Und Computational Finance is published by Physica-Verlag.
How many pages does Datamining Und Computational Finance have?
Page count information for Datamining Und Computational Finance is available in the specifications section of this page.
How long does it take to read Datamining Und Computational Finance?
At an average reading speed of 250 words per minute, reading Datamining Und Computational Finance takes a few hours to a few days depending on reading pace.
What is Datamining Und Computational Finance about?
About the Book Der Schwerpunkt des siebten Karlsruher Ökonometrie-Workshops lag auf der Anwendung Neuronaler Netze bei Finanzzeitreihen, dem Einsatz von Datamining und Maschinellen Lernverfahren bei Fragestellungen des Finanzbereichs und quantitativen Methoden zur Beurteilung von Markt- und Länder...
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