Buch, Englisch, 252 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 358 g
Reihe: Chapman & Hall/CRC Computational Intelligence and Its Applications
Buch, Englisch, 252 Seiten, Format (B × H): 156 mm x 234 mm, Gewicht: 358 g
Reihe: Chapman & Hall/CRC Computational Intelligence and Its Applications
ISBN: 978-1-032-03570-3
Verlag: CRC Press
• Talks about the design, implementation, and performance issues of the hybrid intelligent information retrieval system in one book
• Gives a clear insight into challenges and issues in designing a hybrid information retrieval system
• Includes case studies on structured and unstructured data for hybrid intelligent information retrieval
• Provides research directions for the design and development of intelligent search engines
This book is aimed primarily at graduates and researchers in the information retrieval domain.
Zielgruppe
Academic, Postgraduate, Professional, and Undergraduate Advanced
Autoren/Hrsg.
Fachgebiete
- Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Software Engineering
- Mathematik | Informatik EDV | Informatik Daten / Datenbanken Data Mining
- Mathematik | Informatik EDV | Informatik Programmierung | Softwareentwicklung Spiele-Programmierung, Rendering, Animation
- Mathematik | Informatik Mathematik Mathematik Allgemein
Weitere Infos & Material
1. Introduction. 2. Matching Functions. 3. Information Retrieval Models. 4. Hybrid Swarm Intelligence Approaches for Optimal Information Retrieval. 5. Information Retrieval and Semantic Search. 6. Ontology Creation using Clustering Technique. 7. Natural Language Processing for Information Retrieval. 8. Deep learning (DL) for Information retrieval (IR). 9. Application of Ontology in Domain Specific Information Retrieval: A case study. 10. Applications of Natural Language Processing and Information Retrieval.
