Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 144,83
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 141,72
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Añadir al carritoTaschenbuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory.As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments.This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.
EUR 170,42
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Añadir al carritoCondición: New. pp. 264.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 139,37
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Librería: Revaluation Books, Exeter, Reino Unido
EUR 205,05
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Añadir al carritoPaperback. Condición: Brand New. 2004 edition. 261 pages. 9.21x6.06x0.94 inches. In Stock.
Librería: Mispah books, Redhill, SURRE, Reino Unido
EUR 199,66
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Añadir al carritoPaperback. Condición: Like New. Like New. book.
Publicado por Springer New York Okt 2011, 2011
ISBN 10: 1441930574 ISBN 13: 9781441930576
Idioma: Inglés
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 117,69
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory.As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments.This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text. 264 pp. Englisch.
Librería: moluna, Greven, Alemania
EUR 115,65
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. This survey volume draws upon experts in both academia and industry to re.
Publicado por Springer-Verlag New York Inc., 2011
ISBN 10: 1441930574 ISBN 13: 9781441930576
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 167,94
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 434.
Publicado por Springer New York, Springer US Okt 2011, 2011
ISBN 10: 1441930574 ISBN 13: 9781441930576
Idioma: Inglés
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 139,09
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Extracting content from text continues to be an important research problem for information processing and management. Approaches to capture the semantics of text-based document collections may be based on Bayesian models, probability theory, vector space models, statistical models, or even graph theory. As the volume of digitized textual media continues to grow, so does the need for designing robust, scalable indexing and search strategies (software) to meet a variety of user needs. Knowledge extraction or creation from text requires systematic yet reliable processing that can be codified and adapted for changing needs and environments. This book will draw upon experts in both academia and industry to recommend practical approaches to the purification, indexing, and mining of textual information. It will address document identification, clustering and categorizing documents, cleaning text, and visualizing semantic models of text.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 264 pp. Englisch.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 180,45
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Añadir al carritoCondición: New. Print on Demand pp. 264 49:B&W 6.14 x 9.21 in or 234 x 156 mm (Royal 8vo) Perfect Bound on White w/Gloss Lam.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 181,90
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. 264.