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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:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Front Cover; Mastering Information Retrieval and Probabilistic Decision Intelligence Technology; Copyright Page; Table of Contents; Introduction; Acknowledgements; About the author; Part 1: Background issues; Chapter 1. Who are you and what do you want?; Questionnaire assessment; Observation; User requirements; Eliciting information through an interface; Summary; Chapter 2. The limits of human and automated decision-making; The limits of human decision-making; The limits of automate ddecision-making; Part 2: How it works; Chapter 3. The digital you; What questions should be asked?
  • A great misnomer: the unique identifierConclusions; Chapter 4. Artificial intelligence technologies; Artificial neural networks; Bayesian inference; Rules-based systems; Reinforcement learning; Summary; Chapter 5. The sea of data; Information retrieval; Content management; Conceptual classification; Chapter 6. The development of taxonomies; Structuring data; Designing the taxonomy; Document labelling; Maintaining the taxonomy; Case study 6.1: UK government's Online strategy; Conclusions; Chapter 7. Extracting the meaning of information: using the AI methods; Search/information retrieval.
  • ClassificationPersonalisation; Making an intelligent information choice; Chapter 8. Information in people; Strategies for people information management; Creating value from tacit and explicit knowledge; Key building blocks of information management; Networking; Structured connection; Dimension-directed search; Part 3: Implementation; Chapter 9. Decision intelligence applications; Internet shopping; Decision processes; Self-determination; Case study 9.1: Personalised video recording; Case study 9.2: Financial services; Chapter 10. Ensuring successful practical implementation.
  • Requirements captureProject definition; Troubleshooting; Success; Chapter 11. Who do you think I am! Challenges to the technology; What I think you think of me; Your identifier needs you; They see 'You' but what about Me?; Chapter 12. The future of decision intelligence technology; Benefits; Dangers; Standards; Privacy and confidentiality; The future of decision intelligence; Glossary; References.