Information Retrieval : Algorithms and Heuristics

Information Retrieval: Algorithms and Heuristics is a comprehensive introduction to the study of information retrieval covering both effectiveness and run-time performance. The focus of the presentation is on algorithms and heuristics used to find documents relevant to the user request and to find t...

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Main Authors: Grossman, David A., Frieder, Ophir (Author)
Corporate Author: SpringerLink (Online service)
Format: eBook
Language:English
Published: New York, NY Springer US 1998, 1998
Edition:1st ed. 1998
Series:The Springer International Series in Engineering and Computer Science
Subjects:
Online Access:
Collection: Springer Book Archives -2004 - Collection details see MPG.ReNa
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245 0 0 |a Information Retrieval  |h Elektronische Ressource  |b Algorithms and Heuristics  |c by David A. Grossman, Ophir Frieder 
250 |a 1st ed. 1998 
260 |a New York, NY  |b Springer US  |c 1998, 1998 
300 |a XVI, 254 p  |b online resource 
505 0 |a 1. Introduction -- 2. Retrieval Strategies -- 2.1 Vector Space Model -- 2.2 Probabilistic Retrieval Strategies -- 2.3 Inference Networks -- 2.4 Extended Boolean Retrieval -- 2.5 Latent Semantic Indexing -- 2.6 Neural Networks -- 2.7 Genetic Algorithms -- 2.8 Fuzzy Set Retrieval -- 2.9 Summary -- 2.10 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. Efficiency Issues Pertaining To Sequential IR Systems -- 4.1 Inverted Index -- 4.2 Query Processing -- 4.3 Signature Files -- 4.4 Summary -- 4.5 Exercises -- 5. Integrating Structured Data and Text -- 5.1 Review of the Relational Model -- 5.2 A Historical Progression -- 5.3 Information Retrieval Functionality Using the Relational Model -- 5.4 Boolean Retrieval -- 5.5 Proximity Searches -- 5.6 Computing Relevance Using Unchanged SQL -- 5.7 Rele 
653 |a Data Structures and Information Theory 
653 |a Information Storage and Retrieval 
653 |a Data structures (Computer science) 
653 |a Information storage and retrieval 
653 |a Data Structures 
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520 |a Information Retrieval: Algorithms and Heuristics is a comprehensive introduction to the study of information retrieval covering both effectiveness and run-time performance. The focus of the presentation is on algorithms and heuristics used to find documents relevant to the user request and to find them fast. Through multiple examples, the most commonly used algorithms and heuristics needed are tackled. To facilitate understanding and applications, introductions to and discussions of computational linguistics, natural language processing, probability theory and library and computer science are provided. While this text focuses on algorithms and not on commercial product per se, the basic strategies used by many commercial products are described. Techniques that can be used to find information on the Web, as well as in other large information collections, are included. This volume is an invaluable resource for researchers, practitioners, and students working in information retrieval and databases. For instructors, a set of Powerpoint slides, including speaker notes, are available online from the authors