Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: 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.
Seller: Better World Books, Mishawaka, IN, U.S.A.
Condition: 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.
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Hardcover. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Seller: WeBuyBooks, Rossendale, LANCS, United Kingdom
Condition: Like New. Most items will be dispatched the same or the next working day. An apparently unread copy in perfect condition. Dust cover is intact with no nicks or tears. Spine has no signs of creasing. Pages are clean and not marred by notes or folds of any kind.
Seller: Phatpocket Limited, Waltham Abbey, HERTS, United Kingdom
Condition: 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.
Seller: Hamelyn, Madrid, M, Spain
Condition: Bueno. : 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.
Seller: ThriftBooks-Dallas, Dallas, TX, U.S.A.
Paperback. Condition: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Seller: BennettBooksLtd, Los Angeles, CA, U.S.A.
hardcover. Condition: New. In shrink wrap. Looks like an interesting title!
Seller: Mispah books, Redhill, SURRE, United Kingdom
Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Hardcover. Condition: New.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 136.79
Quantity: Over 20 available
Add to basketCondition: New. In.
Seller: Ria Christie Collections, Uxbridge, United Kingdom
£ 146.95
Quantity: Over 20 available
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Seller: Mispah books, Redhill, SURRE, United Kingdom
Hardcover. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by Springer New York, Springer US, 2010
ISBN 10: 1441929967 ISBN 13: 9781441929969
Seller: AHA-BUCH GmbH, Einbeck, Germany
Taschenbuch. Condition: 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.
Seller: Mispah books, Redhill, SURRE, United Kingdom
Paperback. Condition: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Language: English
Published by Springer New York Okt 2004, 2004
ISBN 10: 0387954333 ISBN 13: 9780387954332
Seller: AHA-BUCH GmbH, Einbeck, Germany
Buch. Condition: 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.