Fred damerau (43 résultats)

Etat : Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Etat : Good. Former library copy. Pages intact with minimal writing/highlighting. The binding may be loose and creased. Dust jackets/supplements are not included. Includes library markings. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.

Hardcover. Etat : Very Good+. Etat de la jaquette : No Dust Jacket Issued. Very good hardcover copy (NOT ex-library). Binding tight and sturdy; text appears unmarked. Shelfwear is very minor. Ships same or next business day from Dinkytown in Minneapolis, Minnesota.

Hardcover. Etat : Very Good. 2. It's a well-cared-for item that has seen limited use. The item may show minor signs of wear. All the text is legible, with all pages included. It may have slight markings and/or highlighting.

Hardcover. Etat : Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.

Etat : acceptable. Used - Acceptable: All pages and the cover are intact, but shrink wrap, dust covers, or boxed set case may be missing. Pages may include limited notes, highlighting, or minor water damage but the text is readable. Item may be missing bundled media.

Etat : Good. : Este libro explora el campo del 'Text Mining', centrándose en métodos predictivos para analizar información no estructurada. Aborda cómo transformar texto y documentos en valores medibles, aplicando técnicas de minería de datos predictiva. Se discuten las adaptaciones necesarias en las técnicas de evaluación, considerando el orden cronológico de publicación y medidas de error alternativas, así como la modificación de métodos para manejar grandes volúmenes de datos. EAN: 9780387954332 Tipo: Libros Categoría: Tecnología|Ciencias Título: Text Mining: Predictive Methods for Analyzing Unstructured Information Autor: Sholom M. Weiss| Nitin Indurkhya| Tong Zhang| Fred Damerau Editorial: Springer Idioma: en Páginas: 249 Formato: tapa dura.…

HRD. Etat : Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

HRD. Etat : Used - Very Good. Used - Like New Book. Shipped from UK. Established seller since 2000.

hardcover. Etat : New. In shrink wrap. Looks like an interesting title.

Hard cover. Etat : Very good. No jacket. Second edition. The cover is shelf worn and slightly rubbed. Binding is tight and inside is clean and unmarked.

Etat : Brand New. New.SoftCover International edition. Different ISBN and Cover image but contents are same as US edition.Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.

Etat : New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.

Etat : New.

Etat : New.

Etat : New.

Hardcover. Etat : New. Brand new book, sourced directly from publisher. Dispatch time is 7-8 days from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Etat : New.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : As New. Unread book in perfect condition.

Taschenbuch. 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.…

HARDCOVER. Etat : New. Brand new book, sourced directly from publisher. Dispatch time is 24-48 hours from our warehouse. Book will be sent in robust, secure packaging to ensure it reaches you securely.

Etat : New. Provides a comprehensive, modern reference of practical tools and techniques for implementing natural language processing in computer systems. This title covers classical methods, empirical and statistical techniques, and various applications. It describes how the techniques can be applied to European and Asian languages as well as English. Editor(s): Indurkhya, Nitin; Damerau, Fred J. Series Editor(s): Graepel, Thore; Herbrich, Ralf. Num Pages: 704 pages, 115 black & white illustrations, 29 black & white tables. BIC Classification: UYQL. Category: (P) Professional & Vocational. Dimension: 264 x 186 x 40. Weight in Grams: 1410. . 2010. 2nd Edition. Hardcover. . . . .…

Etat : As New. Unread book in perfect condition.

Etat : NEW.

Etat : new.

Etat : New. In English.

Etat : As New. Unread book in perfect condition.

Hardcover. Etat : new. Hardcover. The Handbook of Natural Language Processing, Second Edition presents practical tools and techniques for implementing natural language processing in computer systems. Along with removing outdated material, this edition updates every chapter and expands the content to include emerging areas, such as sentiment analysis. New to the Second Edition Greater prominence of statistical approaches New applications section Broader multilingual scope to include Asian and European languages, along with English An actively maintained wiki that provides online resources, supplementary information, and up-to-date developments Divided into three sections, the book first surveys classical techniques, including both symbolic and empirical approaches. The second section focuses on statistical approaches in natural language processing. In the final section of the book, each chapter describes a particular class of application, from Chinese machine translation to information visualization to ontology construction to biomedical text mining.Fully updated with the latest developments in the field, this comprehensive, modern handbook emphasizes how to implement practical language processing tools in computational systems. Provides a comprehensive, modern reference of practical tools and techniques for implementing natural language processing in computer systems. This title covers classical methods, empirical and statistical techniques, and various applications. It describes how the techniques can be applied to European and Asian languages as well as English. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…