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Inhaltsangabe
This book analyses the shortcoming of existing methods for extracting information from web pages. Our analysis shows that existing methods use high level information from these web pages inefficiently, which ultimately degrades their objective performance. We develop a series of optimized extraction techniques which improve on the state of the art. Experimental tests show that our techniques can perform better than the existing techniques on a wide range of data records.
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Über die Autorin bzw. den Autor
Dr. David Hong Jer Lang received the BSc Comp Sc degree from University of Nottingham and PhD degree from Monash University. He is an author of 18 papers, 3 books, reviewers for 14 conferences/journals, and PhD examiner for 2 PhD theses. He has won student travel grants during his PhD study and obtained four sponsorships for overseas travel.
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Automated Data Extraction for Deep Web
Verlag:
LAP LAMBERT Academic Publishing Mär 2011, 2011
ISBN 10: 3844323872
ISBN 13: 9783844323870
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Taschenbuch. Zustand: Neu. Neuware -This book analyses the shortcoming of existing methods for extracting information from web pages. Our analysis shows that existing methods use high level information from these web pages inefficiently, which ultimately degrades their objective performance. We develop a series of optimized extraction techniques which improve on the state of the art. Experimental tests show that our techniques can perform better than the existing techniques on a wide range of data records.Books on Demand GmbH, Überseering 33, 22297 Hamburg 260 pp. Englisch. Artikel-Nr. 9783844323870
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