Information Retrieval: Algorithms and Heuristics

Author:   David A. Grossman ,  Ophir Frieder
Publisher:   Springer-Verlag New York Inc.
Edition:   2nd ed. 2004
Volume:   15
ISBN:  

9781402030048


Pages:   332
Publication Date:   21 October 2004
Format:   Paperback
Availability:   In Print   Availability explained
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Information Retrieval: Algorithms and Heuristics


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Author:   David A. Grossman ,  Ophir Frieder
Publisher:   Springer-Verlag New York Inc.
Imprint:   Springer-Verlag New York Inc.
Edition:   2nd ed. 2004
Volume:   15
Dimensions:   Width: 15.50cm , Height: 1.80cm , Length: 23.50cm
Weight:   1.100kg
ISBN:  

9781402030048


ISBN 10:   1402030045
Pages:   332
Publication Date:   21 October 2004
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

1. Introduction.- 2. Retrieval Strategies.- 2.1 Vector Space Model.- 2.2 Probabilistic Retrieval Strategies.- 2.3 Language Models.- 2.4 Inference Networks.- 2.5 Extended Boolean Retrieval.- 2.6 Latent Semantic Indexing.- 2.7 Neural Networks.- 2.8 Genetic Algorithms.- 2.9 Fuzzy Set Retrieval.- 2.10 Summary.- 2.11 Exercises.- 3. Retrieval Utilities.- 3.1 Relevance Feedback.- 3.2 Clustering.- 3.3 Passage-based Retrieval.- 3.4 N-grams.- 3.5 Regression Analysis.- 3.6 Thesauri.- 3.7 Semantic Networks.- 3.8 Parsing.- 3.9 Summary.- 3.10 Exercises.- 4. Cross-Language Information Retrieval.- 4.1 Introduction.- 4.2 Crossing the Language Barrier.- 4.3 Cross-Language Retrieval Strategies.- 4.4 Cross Language Utilities.- 4.5 Summary.- 4.6 Exercises.- 5. Efficiency.- 5.1 Inverted Index.- 5.2 Query Processing.- 5.3 Signature Files.- 5.4 Duplicate Document Detection.- 5.5 Summary.- 5.6 Exercises.- 6. Integrating Structured Data and Text.- 6.1 Review of the Relational Model.- 6.2 A Historical Progression.- 6.3 Information Retrieval as a Relational Application.- 6.4 Semi-Structured Search using a Relational Schema.- 6.5 Multi-dimensional Data Model.- 6.6 Mediators.- 6.7 Summary.- 6.8 Exercises.- 7. Parallel Information Retrieval.- 7.1 Parallel Text Scanning.- 7.2 Parallel Indexing.- 7.3 Clustering and Classification.- 7.4 Large Parallel Systems.- 7.5 Summary.- 7.6 Exercises.- 8. Distributed Information Retrieval.- 8.1 A Theoretical Model of Distributed Retrieval.- 8.2 Web Search.- 8.3 Result Fusion.- 8.4 Peer-to-Peer Information Systems.- 8.5 Other Architectures.- 8.6 Summary.- 8.7 Exercises.- 9. Summary and Future Directions.- References.

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