Da: Better World Books, Mishawaka, IN, U.S.A.
Condizione: 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.
Da: Better World Books, Mishawaka, IN, U.S.A.
Condizione: 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.
Da: WeBuyBooks, Rossendale, LANCS, Regno Unito
EUR 1,61
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: 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.
Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Hardcover. Condizione: As New. No Jacket. Pages are clean and are not marred by notes or folds of any kind. ~ ThriftBooks: Read More, Spend Less.
Da: ThriftBooks-Atlanta, AUSTELL, GA, U.S.A.
Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
EUR 1,18
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: 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.
Da: HPB-Emerald, Dallas, TX, U.S.A.
hardcover. Condizione: 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!
Da: BennettBooksLtd, Los Angeles, CA, U.S.A.
hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Condizione: 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.
Da: Aragon Books Canada, OTTAWA, ON, Canada
EUR 125,82
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: New.
Condizione: Used. pp. 260.
EUR 147,60
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Used. pp. 260 Illus.
EUR 151,77
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Used. pp. 260.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 158,58
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 167,27
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Lingua: Inglese
Editore: Springer New York Okt 2004, 2004
ISBN 10: 0387954333 ISBN 13: 9780387954332
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 247,94
Quantità: 2 disponibili
Aggiungi al carrelloBuch. Condizione: 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.