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* Ihre Aktion  suchen [und] ([PPN] Pica-Produktionsnummer) 1606820125
Bücher
PPN: 
1606820125 Über den Zitierlink können Sie diesen Titel als Lesezeichen ablegen oder weiterleiten
Titel: 
Person/en: 
Sprache/n: 
Englisch
Veröffentlichungsangabe: 
Cambridge ; New York : Cambridge University Press, 2008
Umfang: 
xxi, 482 Seiten : Illustrationen, Diagramme ; 27 cm
Anmerkung: 
Literaturverzeichnis: Seiten 441-468
Hier auch später erschienene, unveränderte Nachdrucke
Bibliogr. Zusammenhang: 
ISBN: 
0-521-86571-9 : hbk$f£ 32.99
978-0-521-86571-5 : hbk$f£ 32.99
Mehr zum Titel: 
Boolean retrieval -- The term vocabulary and postings lists -- Dictionaries and tolerant retrieval -- Index construction -- Index compression -- Scoring, term weighting, and the vector space model -- Computing scores in a complete search system -- Evaluation in information retrieval -- Relevance feedback and query expansion -- XML retrieval -- Probabilistic information retrieval -- Language models for information retrieval -- Text classification and Naive Bayes -- Vector space classification -- Support vector machines and machine learning on documents -- Flat clustering -- Hierarchical clustering -- Matrix decompositions and latent semantic indexing -- Web search basics -- Web crawling and indexes -- Link analysis.
Schlagwörter: 
Sachgebiete: 
Mehr zum Thema: 
Klassifikation der Library of Congress: QA76.9.T48
Dewey Dezimal-Klassifikation: 025.04;
Mathematics Subject Classification: *68P20
Mathematics Subject Classification: 68-01
Inhalt: 
"Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures." -- Publisher's description
"Class-tested and coherent, this textbook teaches classical and web information retrieval, including web search and the related areas of text classification and text clustering from basic concepts. It gives an up-to-date treatment of all aspects of the design and implementation of systems for gathering, indexing, and searching documents; methods for evaluating systems; and an introduction to the use of machine learning methods on text collections. All the important ideas are explained using examples and figures, making it perfect for introductory courses in information retrieval for advanced undergraduates and graduate students in computer science. Based on feedback from extensive classroom experience, the book has been carefully structured in order to make teaching more natural and effective. Slides and additional exercises (with solutions for lecturers) are also available through the book's supporting website to help course instructors prepare their lectures." -- Publisher's description
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