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Mastering Information Retrieval and Probabilistic Decision Intelligence Technology. Chandos Information Professional Series

  • ID: 2719781
  • Book
  • May 2004
  • 166 Pages
  • Elsevier Science and Technology
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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.

- Written by an expert practitioner in the field- Helps to summarise and explain the basic issues- Covers both benefits and challenges likely to be encountered in implementing an Information Retrieval system

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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.
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Brown, Daniel
Dr Daniel Brown is a founder of APR Smartlogik. He has lectured extensively, on an international basis, on Information Retrieval and Decision Intelligence and has worked with a range of companies and organisations including IBM, BBC, British Telecom, Fidelity, and over fifty libraries and local government organisations across the United Kingdom. He is the author of several books and over thirty papers, as well as being a high profile speaker and media commentator on Decision Intelligence.
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