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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...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor principal: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Oxford :
Chandos,
2004.
|
| Colección: | Chandos information professional series.
|
| Temas: | |
| Acceso en línea: | Texto completo |
MARC
| LEADER | 00000cam a2200000 a 4500 | ||
|---|---|---|---|
| 001 | SCIDIR_ocn608423488 | ||
| 003 | OCoLC | ||
| 005 | 20231117033049.0 | ||
| 006 | m o d | ||
| 007 | cr un||||a|a|| | ||
| 008 | 100420s2004 enk ob 001 0 eng d | ||
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| 020 | |a 9781780630670 |q (electronic bk.) | ||
| 020 | |a 1780630670 |q (electronic bk.) | ||
| 020 | |z 1843340798 | ||
| 020 | |z 9781843340799 | ||
| 020 | |z 1843340801 | ||
| 020 | |z 9781843340805 | ||
| 035 | |a (OCoLC)608423488 |z (OCoLC)643747644 |z (OCoLC)869282400 |z (OCoLC)871225372 |z (OCoLC)874155624 |z (OCoLC)905801201 |z (OCoLC)974770053 |z (OCoLC)974855044 |z (OCoLC)987727601 |z (OCoLC)1100973890 | ||
| 042 | |a dlr | ||
| 050 | 4 | |a Z674.75.I58 |b B76 2004 | |
| 072 | 7 | |a BUS |x 082000 |2 bisacsh | |
| 072 | 7 | |a BUS |x 041000 |2 bisacsh | |
| 072 | 7 | |a BUS |x 042000 |2 bisacsh | |
| 072 | 7 | |a BUS |x 085000 |2 bisacsh | |
| 082 | 0 | 4 | |a 658.4038 |2 22 |
| 084 | |a 54.60 |2 bcl | ||
| 100 | 1 | |a Brown, Daniel, |c Dr. | |
| 245 | 1 | 0 | |a Mastering information retrieval and probabilistic decision intelligence technology / |c Daniel Brown. |
| 260 | |a Oxford : |b Chandos, |c 2004. | ||
| 300 | |a 1 online resource (xvi, 150 pages) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Information professional series | |
| 504 | |a Includes bibliographical references and index. | ||
| 506 | |3 Use copy |f Restrictions unspecified |2 star |5 MiAaHDL | ||
| 533 | |a Electronic reproduction. |b [Place of publication not identified] : |c HathiTrust Digital Library, |d 2010. |5 MiAaHDL | ||
| 538 | |a Master and use copy. Digital master created according to Benchmark for Faithful Digital Reproductions of Monographs and Serials, Version 1. Digital Library Federation, December 2002. |u http://purl.oclc.org/DLF/benchrepro0212 |5 MiAaHDL | ||
| 583 | 1 | |a digitized |c 2010 |h HathiTrust Digital Library |l committed to preserve |2 pda |5 MiAaHDL | |
| 588 | 0 | |a Print version record. | |
| 520 | |a 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. | ||
| 505 | 0 | |a 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? | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 505 | 8 | |a 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. | |
| 650 | 0 | |a Information retrieval. | |
| 650 | 0 | |a Statistical decision. | |
| 650 | 0 | |a Artificial intelligence. | |
| 650 | 0 | |a Consumer profiling |x Data processing. | |
| 650 | 0 | |a Internet searching. | |
| 650 | 2 | |a Information Storage and Retrieval |0 (DNLM)D016247 | |
| 650 | 2 | |a Artificial Intelligence |0 (DNLM)D001185 | |
| 650 | 6 | |a Recherche sur Internet. |0 (CaQQLa)201-0318994 | |
| 650 | 6 | |a Recherche de l'information. |0 (CaQQLa)201-0013918 | |
| 650 | 6 | |a Prise de d�ecision (Statistique) |0 (CaQQLa)201-0002656 | |
| 650 | 6 | |a Intelligence artificielle. |0 (CaQQLa)201-0008626 | |
| 650 | 6 | |a Profil des consommateurs |0 (CaQQLa)201-0396067 |x Informatique. |0 (CaQQLa)201-0380011 | |
| 650 | 7 | |a information retrieval. |2 aat |0 (CStmoGRI)aat300155377 | |
| 650 | 7 | |a artificial intelligence. |2 aat |0 (CStmoGRI)aat300251574 | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Industrial Management. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Management. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Management Science. |2 bisacsh | |
| 650 | 7 | |a BUSINESS & ECONOMICS |x Organizational Behavior. |2 bisacsh | |
| 650 | 7 | |a Internet searching |2 fast |0 (OCoLC)fst00977289 | |
| 650 | 7 | |a Artificial intelligence |2 fast |0 (OCoLC)fst00817247 | |
| 650 | 7 | |a Information retrieval |2 fast |0 (OCoLC)fst00972619 | |
| 650 | 7 | |a Statistical decision |2 fast |0 (OCoLC)fst01132059 | |
| 650 | 1 | 7 | |a Information retrieval-systemen. |2 gtt |
| 650 | 1 | 7 | |a Management informatiesystemen. |2 gtt |
| 776 | 0 | 8 | |i Print version: |a Brown, Daniel, Dr. |t Mastering information retrieval and probabilistic decision intelligence technology. |d Oxford : Chandos, 2004 |w (OCoLC)55735966 |
| 830 | 0 | |a Chandos information professional series. | |
| 856 | 4 | 0 | |u https://sciencedirect.uam.elogim.com/science/book/9781843340799 |z Texto completo |