Skip to main content

Economic and Financial Knowledge-Based Processing

  • Book
  • © 1990

Overview

This is a preview of subscription content, log in via an institution to check access.

Access this book

eBook USD 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

Table of contents (14 chapters)

Keywords

About this book

As banks, financial services, insurances, and economic research units worldwide strive to add knowledge based capabilities to their analyses and services, or to create new ones, this volume aims to provide them with concrete tools, methods and application possibilities. The tutorial component of the book relies on case study illustrations, and on source code in some of the major artificial intelligence languages. The applications related component includes an extensive survey of real projects, and a number of thorough generic methods and tools for auditing, technical analysis, information screens and natural-language front-ends. The research related component highlights novel methods and software for economic reasoning under uncertainty and for fusion of qualitative/quantitative model-based economic reasoning.

Authors and Affiliations

  • Technical University of Denmark, Lyngby, Denmark

    Louis F. Pau

  • Milano, Italy

    Claudio Gianotti

Bibliographic Information

  • Book Title: Economic and Financial Knowledge-Based Processing

  • Authors: Louis F. Pau, Claudio Gianotti

  • DOI: https://doi.org/10.1007/978-3-642-76002-0

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Springer Book Archive

  • Copyright Information: Springer-Verlag Berlin Heidelberg 1990

  • Softcover ISBN: 978-3-642-76004-4Published: 23 August 2014

  • eBook ISBN: 978-3-642-76002-0Published: 06 December 2012

  • Edition Number: 1

  • Number of Pages: XV, 366

  • Number of Illustrations: 26 b/w illustrations

  • Topics: IT in Business, Artificial Intelligence

Publish with us