Verlag: Morgan Kaufmann Publishers, 2002
ISBN 10: 1558607544 ISBN 13: 9781558607545
Sprache: Englisch
Anbieter: ThriftBooks-Atlanta, AUSTELL, GA, USA
Hardcover. Zustand: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
Verlag: Elsevier Science & Technology, 2002
ISBN 10: 1558607544 ISBN 13: 9781558607545
Sprache: Englisch
Anbieter: Better World Books Ltd, Dunfermline, Vereinigtes Königreich
EUR 9,80
Anzahl: 1 verfügbar
In den WarenkorbZustand: Good. 1 Edition. Ships from the UK. Former library book; may include library markings. Used book that is in clean, average condition without any missing pages.
Verlag: Elsevier Science & Technology, 2002
ISBN 10: 1558607544 ISBN 13: 9781558607545
Sprache: Englisch
Anbieter: Better World Books Ltd, Dunfermline, Vereinigtes Königreich
EUR 9,80
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In den WarenkorbZustand: Very Good. 1 Edition. Ships from the UK. Former library book; may include library markings. Used book that is in excellent condition. May show signs of wear or have minor defects.
Anbieter: Book Express (NZ), Shannon, Neuseeland
Hardcover. Zustand: Very Good. 368 pages. Mining the Web: Discovering Knowledge from Hypertext Data is the first book d evoted entirely to techniques for producing knowledge from the vast body of unst ructured Web data. Building on an initial survey of infrastructural issuesinclud.
Anbieter: bmyguest books, Toronto, ON, Kanada
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Hardcover. Zustand: Very Good. 1st Edition. In Very Good Condition With No Remarks Or Highlights. 344 Pages With The Index.books are NOT signed. We will state signed at the description section. we confirm they are signed via email or stated in the description box. - Specializing in academic, collectiblle and historically significant, providing the utmost quality and customer service satisfaction. For any questions feel free to email us.
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Anbieter: BennettBooksLtd, San Diego, NV, USA
hardcover. Zustand: New. In shrink wrap. Looks like an interesting title!
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 71,88
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In den WarenkorbHardcover. Zustand: Brand New. 345 pages. 9.50x7.50x1.00 inches. In Stock.
Verlag: Elsevier Science & Technology, 2002
ISBN 10: 1558607544 ISBN 13: 9781558607545
Sprache: Englisch
Anbieter: THE SAINT BOOKSTORE, Southport, Vereinigtes Königreich
EUR 67,40
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In den WarenkorbHardback. Zustand: New. New copy - Usually dispatched within 4 working days. 658.
Verlag: Morgan Kaufmann Publishers In 2002-10-16, 2002
ISBN 10: 1558607544 ISBN 13: 9781558607545
Sprache: Englisch
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
EUR 71,87
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In den WarenkorbHardcover. Zustand: New.
Zustand: good. Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present.
Zustand: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
Anbieter: ChouetteCoop, Kervignac, Frankreich
Zustand: Used: Good. Occasion - Bon Etat - Mining the web. Discovering knowledge from hypertext data (2002) - Grand Format.
Anbieter: Brook Bookstore On Demand, Napoli, NA, Italien
EUR 78,75
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In den WarenkorbZustand: new. Questo è un articolo print on demand.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
Buch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Mining the Web: Discovering Knowledge from Hypertext Data is the first book devoted entirely to techniques for producing knowledge from the vast body of unstructured Web data. Building on an initial survey of infrastructural issues-including Web crawling and indexing-Chakrabarti examines low-level machine learning techniques as they relate specifically to the challenges of Web mining. He then devotes the final part of the book to applications that unite infrastructure and analysis to bring machine learning to bear on systematically acquired and stored data. Here the focus is on results: the strengths and weaknesses of these applications, along with their potential as foundations for further progress. From Chakrabarti's work-painstaking, critical, and forward-looking-readers will gain the theoretical and practical understanding they need to contribute to the Web mining effort. \* A comprehensive, critical exploration of statistics-based attempts to make sense of Web Mining.\* Details the special challenges associated with analyzing unstructured and semi-structured data.\* Looks at how classical Information Retrieval techniques have been modified for use with Web data.\* Focuses on today's dominant learning methods: clustering and classification, hyperlink analysis, and supervised and semi-supervised learning.\* Analyzes current applications for resource discovery and social network analysis.\* An excellent way to introduce students to especially vital applications of data mining and machine learning technology.