Mastering information retrieval and probabilistic decision intelligence technology /

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...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Brown, Daniel, Dr
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Oxford : Chandos, 2004.
Colección:Chandos information professional series.
Temas:
Information retrieval.
Statistical decision.
Artificial intelligence.
Consumer profiling > Data processing.
Internet searching.
Information Storage and Retrieval
Artificial Intelligence
Recherche sur Internet.
Recherche de l'information.
Prise de d�ecision (Statistique)
Intelligence artificielle.
Profil des consommateurs > Informatique.
information retrieval.
artificial intelligence.
BUSINESS & ECONOMICS > Industrial Management.
BUSINESS & ECONOMICS > Management.
BUSINESS & ECONOMICS > Management Science.
BUSINESS & ECONOMICS > Organizational Behavior.
Internet searching
Artificial intelligence
Information retrieval
Statistical decision
Information retrieval-systemen.
Management informatiesystemen.
Acceso en línea:Texto completo
Descripción
Sumario: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 fieldHelps to summarise and explain the basic issuesCovers both benefits and challenges likely to be encountered in implementing an Information Retrieval system.
Descripción Física:1 online resource (xvi, 150 pages)
Bibliografía:Includes bibliographical references and index.
ISBN:9781780630670
1780630670

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