Da: Better World Books, Mishawaka, IN, U.S.A.
Condizione: Good. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
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: WeBuyBooks, Rossendale, LANCS, Regno Unito
EUR 1,60
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: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
EUR 1,17
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, San Diego, NV, U.S.A.
hardcover. Condizione: New. In shrink wrap. Looks like an interesting title!
Da: Toscana Books, AUSTIN, TX, U.S.A.
Hardcover. Condizione: new. Excellent Condition.Excels in customer satisfaction, prompt replies, and quality checks.
Da: medimops, Berlin, Germania
EUR 3,94
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: very good. Gut/Very good: Buch bzw. Schutzumschlag mit wenigen Gebrauchsspuren an Einband, Schutzumschlag oder Seiten. / Describes a book or dust jacket that does show some signs of wear on either the binding, dust jacket or pages.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 91,18
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Da: HPB-Red, Dallas, TX, U.S.A.
paperback. Condizione: 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!
Da: Best Price, Torrance, CA, U.S.A.
Condizione: New. SUPER FAST SHIPPING.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 158,64
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Lucky's Textbooks, Dallas, TX, U.S.A.
EUR 158,64
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 162,76
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 168,49
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 175,35
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Like New. Like New. book.
Da: preigu, Osnabrück, Germania
EUR 141,30
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 162,91
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: 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.
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 223,29
Quantità: 1 disponibili
Aggiungi al carrelloPaperback. Condizione: Like New. Like New. book.
Editore: Springer New York Okt 2004, 2004
ISBN 10: 0387954333 ISBN 13: 9780387954332
Lingua: Inglese
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.