automated data extraction deep de hong jer (4 resultados)

Taschenbuch. Condición: 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.

Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Hong Jer LangDr. 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 .

Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - 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. 260 pp. Englisch.

Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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.