Mastering information retrieval and probabilistic decision intelligence technology

Author(s)

    • Brown, Daniel

Bibliographic Information

Mastering information retrieval and probabilistic decision intelligence technology

Daniel Brown

(Chandos information professional series)

Chandos, 2004

  • hbk
  • pbk

Available at  / 4 libraries

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Description and Table of Contents

Description

Aimed at information managers in organisations including local/state government, libraries and financial services. Mastering Information Retrieval and Probabilistic Decision Intelligence Technology reviews the management of information and its focus to people empowered to make decisions. It provides managers and students of information with the resources to understand and start to deploy information retrieval systems throughout their organisation and the tools to respond effectively to the enormous developments in new technologies.

Table of Contents

  • Part 1 Background issues: Who are you and what do you want?
  • The limits of human and automated decision-making. Part 2 How it works: The digital you
  • Artificial intelligence technologies
  • The sea of data
  • The development of taxonomies
  • Extracting the meaning of information: using the AI methods
  • Information in people. Part 3 Implementation: Decision intelligence applications
  • Ensuring successful practical implementation
  • Who do you think I am! Challenges to the technology
  • The future of decision intelligence technology.

by "Nielsen BookData"

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