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Ajouter au panierEtat : Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
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Ajouter au panierhardcover. Etat : Very Good. Connecting readers with great books since 1972! Used books may not include companion materials, and may have some shelf wear or limited writing. We ship orders daily and Customer Service is our top priority!
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Ajouter au panierBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
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Ajouter au panierPaperback. Etat : Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Vendeur : Aragon Books Canada, OTTAWA, ON, Canada
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Ajouter au panierHardcover. Etat : New.
Vendeur : HPB-Red, Dallas, TX, Etats-Unis
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Ajouter au panierpaperback. Etat : Good. Connecting readers with great books since 1972! Used textbooks may not include companion materials such as access codes, etc. May have some wear or writing/highlighting. We ship orders daily and Customer Service is our top priority!
Vendeur : Best Price, Torrance, CA, Etats-Unis
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Ajouter au panierEtat : New. SUPER FAST SHIPPING.
Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Vendeur : Lucky's Textbooks, Dallas, TX, Etats-Unis
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
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Ajouter au panierEtat : New. In.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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Ajouter au panierHardcover. Etat : Like New. Like New. book.
Vendeur : preigu, Osnabrück, Allemagne
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Ajouter au panierTaschenbuch. Etat : Neu. Text Mining | Predictive Methods for Analyzing Unstructured Information | Sholom M. Weiss (u. a.) | Taschenbuch | xii | Englisch | 2010 | Springer US | EAN 9781441929969 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 162,91
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Ajouter au panierTaschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - Data mining is a mature technology. The prediction problem, looking for predictive patterns in data, has been widely studied. Strong me- ods are available to the practitioner. These methods process structured numerical information, where uniform measurements are taken over a sample of data. Text is often described as unstructured information. So, it would seem, text and numerical data are different, requiring different methods. Or are they In our view, a prediction problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such as the presence or absence of words, and the same methods that have proven successful for pred- tive data mining can be applied to text. Yet, there are key differences. Evaluation techniques must be adapted to the chronological order of publication and to alternative measures of error. Because the data are documents, more specialized analytical methods may be preferred for text. Moreover, the methods must be modi ed to accommodate very high dimensions: tens of thousands of words and documents. Still, the central themes are similar.
Vendeur : Mispah books, Redhill, SURRE, Royaume-Uni
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Ajouter au panierPaperback. Etat : Like New. Like New. book.
Edité par Springer New York Okt 2004, 2004
ISBN 10 : 0387954333 ISBN 13 : 9780387954332
Langue: anglais
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 247,94
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Ajouter au panierBuch. Etat : Neu. Neuware - Data mining is a mature technology. The prediction problem, looking for predictive patterns in data, has been widely studied. Strong me- ods are available to the practitioner. These methods process structured numerical information, where uniform measurements are taken over a sample of data. Text is often described as unstructured information. So, it would seem, text and numerical data are different, requiring different methods. Or are they In our view, a prediction problem can be solved by the same methods, whether the data are structured - merical measurements or unstructured text. Text and documents can be transformed into measured values, such as the presence or absence of words, and the same methods that have proven successful for pred- tive data mining can be applied to text. Yet, there are key differences. Evaluation techniques must be adapted to the chronological order of publication and to alternative measures of error. Because the data are documents, more specialized analytical methods may be preferred for text. Moreover, the methods must be modi ed to accommodate very high dimensions: tens of thousands of words and documents. Still, the central themes are similar.