Fred damerau (19 Ergebnisse)

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

Zustand: New. Brand New. Soft Cover International Edition. Different ISBN and Cover Image. Priced lower than the standard editions which is usually intended to make them more affordable for students abroad. The core content of the book is generally the same as the standard edition. The country selling restrictions may be printed on the book but is no problem for the self-use. This Item maybe shipped from US or any other country as we have multiple locations worldwide.…

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

Zustand: 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.

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

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

Zustand: New. In.

Zustand: NEW.

Taschenbuch. Zustand: 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.…

Zustand: 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. . . . . Books ship from the US and Ireland.…

Zustand: New. Nitin Indurkhya is an associate professor in the School of Computer Science and Engineering at the University of New South Wales in Sydney, Australia. He is also the founder and president of Data-Miner Pty Ltd, which offers education, tr.

Hardcover. Zustand: Brand New. 2nd edition. 568 pages. 10.31x7.32x1.46 inches. In Stock.