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Verlag: Springer, 2011
ISBN 10: 3642229123ISBN 13: 9783642229121
Anbieter: booksXpress, Bayonne, NJ, USA
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Hardcover. Zustand: new.
Verlag: Springer, 2016
ISBN 10: 3662506718ISBN 13: 9783662506714
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Zustand: New.
Verlag: Springer, 2016
ISBN 10: 3662506718ISBN 13: 9783662506714
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Soft Cover. Zustand: new.
Verlag: Springer-Verlag GmbH, 2011
ISBN 10: 3642229123ISBN 13: 9783642229121
Anbieter: Buchpark, Trebbin, Deutschland
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Zustand: Sehr gut. Zustand: Sehr gut - Neubindung, Buchschnitt leicht verkürzt, Buchecken leicht angestoßen, Ausgabe 2011 | Seiten: 441 | Sprache: Englisch.
Verlag: Springer, 2016
ISBN 10: 3662506718ISBN 13: 9783662506714
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
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Verlag: Springer, 2016
ISBN 10: 3662506718ISBN 13: 9783662506714
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Zustand: New.
Verlag: Springer, 2011
ISBN 10: 3642229123ISBN 13: 9783642229121
Anbieter: Lucky's Textbooks, Dallas, TX, USA
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Zustand: New.
Verlag: Springer, 2011
ISBN 10: 3642229123ISBN 13: 9783642229121
Anbieter: GreatBookPrices, Columbia, MD, USA
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Zustand: New.
Verlag: Springer, 2016
ISBN 10: 3662506718ISBN 13: 9783662506714
Anbieter: GreatBookPricesUK, Castle Donington, DERBY, Vereinigtes Königreich
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Zustand: New.
Verlag: Springer Berlin Heidelberg Aug 2016, 2016
ISBN 10: 3662506718ISBN 13: 9783662506714
Anbieter: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Deutschland
Buch Print-on-Demand
Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The rapidly growing volume of available digital documents of various formats and the possibility to access these through Internet-based technologies, have led to the necessity to develop solid methods to properly organize and structure documents in large digital libraries and repositories. Due to the extremely large volumes of documents and to their unstructured form, most of the research efforts in this direction are dedicated to automatically infer structure and schemas that can help to better organize huge collections of documents and data. This book covers the latest advances in structure inference in heterogeneous collections of documents and data. The book brings a comprehensive view of the state-of-the-art in the area, presents some lessons learned and identifies new research issues, challenges and opportunities for further research agenda and developments. The selected chapters cover a broad range of research issues, from theoretical approaches to case studies and best practices in the field. Researcher, software developers, practitioners and students interested in the field of learning structure and schemas from documents will find the comprehensive coverage of this book useful for their research, academic, development and practice activity. 460 pp. Englisch.
Verlag: Springer Berlin Heidelberg, 2016
ISBN 10: 3662506718ISBN 13: 9783662506714
Anbieter: moluna, Greven, Deutschland
Buch Print-on-Demand
Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents State-Of-The-Art Methods for Structure Learning and Schema Inference Case Studies and Best Practices from Real Large Scale Digital Libraries, Repositories and Corpora Written by Leading Experts in the FieldThe rapidly gr.
Verlag: Springer Berlin Heidelberg, 2011
ISBN 10: 3642229123ISBN 13: 9783642229121
Anbieter: moluna, Greven, Deutschland
Buch Print-on-Demand
Gebunden. Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Presents State-Of-The-Art Methods for Structure Learning and Schema Inference Case Studies and Best Practices from Real Large Scale Digital Libraries, Repositories and Corpora Written by Leading Experts in the FieldThe rapidly gr.
Verlag: Springer, 2016
ISBN 10: 3662506718ISBN 13: 9783662506714
Anbieter: Books Puddle, New York, NY, USA
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Zustand: New. pp. 459.
Verlag: Springer Berlin Heidelberg, 2016
ISBN 10: 3662506718ISBN 13: 9783662506714
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
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Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - The rapidly growing volume of available digital documents of various formats and the possibility to access these through Internet-based technologies, have led to the necessity to develop solid methods to properly organize and structure documents in large digital libraries and repositories. Due to the extremely large volumes of documents and to their unstructured form, most of the research efforts in this direction are dedicated to automatically infer structure and schemas that can help to better organize huge collections of documents and data. This book covers the latest advances in structure inference in heterogeneous collections of documents and data. The book brings a comprehensive view of the state-of-the-art in the area, presents some lessons learned and identifies new research issues, challenges and opportunities for further research agenda and developments. The selected chapters cover a broad range of research issues, from theoretical approaches to case studies and best practices in the field. Researcher, software developers, practitioners and students interested in the field of learning structure and schemas from documents will find the comprehensive coverage of this book useful for their research, academic, development and practice activity.
Verlag: Springer, 2011
ISBN 10: 3642229123ISBN 13: 9783642229121
Anbieter: GreatBookPrices, Columbia, MD, USA
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Zustand: As New. Unread book in perfect condition.
Verlag: Springer, 2011
ISBN 10: 3642229123ISBN 13: 9783642229121
Anbieter: Ria Christie Collections, Uxbridge, Vereinigtes Königreich
Buch Print-on-Demand
Zustand: New. PRINT ON DEMAND Book; New; Fast Shipping from the UK. No. book.
Verlag: Springer, 2011
ISBN 10: 3642229123ISBN 13: 9783642229121
Anbieter: GreatBookPricesUK, Castle Donington, DERBY, Vereinigtes Königreich
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Zustand: New.
Verlag: Springer, 2016
ISBN 10: 3662506718ISBN 13: 9783662506714
Anbieter: Majestic Books, Hounslow, Vereinigtes Königreich
Buch Print-on-Demand
Zustand: New. Print on Demand pp. 459.
Verlag: Springer, 2016
ISBN 10: 3662506718ISBN 13: 9783662506714
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Zustand: New. 2016. Paperback. . . . . .
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2011
ISBN 10: 3642229123ISBN 13: 9783642229121
Anbieter: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irland
Buch
Zustand: New. This book covers the latest advances in structure inference in heterogeneous collections of documents and data, offering a comprehensive view of the state of the art, and identifying challenges and opportunities for further research agenda and developments. Editor(s): Biba, Marenglen; Xhafa, Fatos. Series: Studies in Computational Intelligence. Num Pages: 441 pages, biography. BIC Classification: UM; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 25. Weight in Grams: 818. . 2011. Hardback. . . . .
Verlag: Springer, 2011
ISBN 10: 3642229123ISBN 13: 9783642229121
Anbieter: GreatBookPricesUK, Castle Donington, DERBY, Vereinigtes Königreich
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Zustand: As New. Unread book in perfect condition.
Verlag: Springer, 2016
ISBN 10: 3662506718ISBN 13: 9783662506714
Anbieter: GreatBookPricesUK, Castle Donington, DERBY, Vereinigtes Königreich
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Zustand: As New. Unread book in perfect condition.
Verlag: Springer, 2016
ISBN 10: 3662506718ISBN 13: 9783662506714
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
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Paperback. Zustand: Like New. Like New. book.
Verlag: Springer, 2016
ISBN 10: 3662506718ISBN 13: 9783662506714
Anbieter: GreatBookPrices, Columbia, MD, USA
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Zustand: As New. Unread book in perfect condition.
Verlag: Springer, 2016
ISBN 10: 3662506718ISBN 13: 9783662506714
Anbieter: Kennys Bookstore, Olney, MD, USA
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Zustand: New. 2016. Paperback. . . . . . Books ship from the US and Ireland.
Verlag: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG, 2011
ISBN 10: 3642229123ISBN 13: 9783642229121
Anbieter: Kennys Bookstore, Olney, MD, USA
Buch
Zustand: New. This book covers the latest advances in structure inference in heterogeneous collections of documents and data, offering a comprehensive view of the state of the art, and identifying challenges and opportunities for further research agenda and developments. Editor(s): Biba, Marenglen; Xhafa, Fatos. Series: Studies in Computational Intelligence. Num Pages: 441 pages, biography. BIC Classification: UM; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 25. Weight in Grams: 818. . 2011. Hardback. . . . . Books ship from the US and Ireland.