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Sinopsis
World Wide Web is enormous compilation of multi- variant data. For better knowledge management it is important to retrieve accurate and complete data. The hidden Web, also known as the invisible Web or deep Web, has given rise to a new issue of Web mining research. Most documents in the hidden Web, including pages hidden behind search forms, specialized databases, and dynamically generated Web pages, are not accessible by general Web mining application. In this paper a system is designed that has a robust ability to access these hidden web pages using web structure mining techniques for better knowledge management. As dynamic content generation is used in modern web pages and user forms are used to get information from a particular user and stored in a database. The link structure lying in these forms can not be accessed during conventional mining procedures. The accuracy ratio of web page hierarchical structures can be improved by including these hidden web pages in the process of Web structure mining. The designed system is adequately strong to process the dynamic Web pages along with static ones.
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Reseña del editor
World Wide Web is enormous compilation of multi- variant data. For better knowledge management it is important to retrieve accurate and complete data. The hidden Web, also known as the invisible Web or deep Web, has given rise to a new issue of Web mining research. Most documents in the hidden Web, including pages hidden behind search forms, specialized databases, and dynamically generated Web pages, are not accessible by general Web mining application. In this paper a system is designed that has a robust ability to access these hidden web pages using web structure mining techniques for better knowledge management. As dynamic content generation is used in modern web pages and user forms are used to get information from a particular user and stored in a database. The link structure lying in these forms can not be accessed during conventional mining procedures. The accuracy ratio of web page hierarchical structures can be improved by including these hidden web pages in the process of Web structure mining. The designed system is adequately strong to process the dynamic Web pages along with static ones.
Biografía del autor
M. Asif Naeem holds a PhD from University of Auckland, New Zealand. He did his MS from Balochistan University of Information Technology and Management Science, Pakistan in 2006. His research interests include online stream processing, data management and integration, business intelligence, and web mining.
M. Asif Naeem holds a PhD from University of Auckland, New Zealand. He did his MS from Balochistan University of Information Technology and Management Science, Pakistan in 2006. His research interests include online stream processing, data management and integration, business intelligence, and web mining.
M. Asif Naeem holds a PhD from University of Auckland, New Zealand. He did his MS from Balochistan University of Information Technology and Management Science, Pakistan in 2006. His research interests include online stream processing, data management and integration, business intelligence, and web mining.
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Web Content Mining from Hidden Web: A Methodical Web Mining Approach for Automated Information Extraction from Dynamic Web pages
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844380868
ISBN 13: 9783844380866
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Web Content Mining from Hidden Web
Publicado por
LAP LAMBERT Academic Publishing Mai 2011, 2011
ISBN 10: 3844380868
ISBN 13: 9783844380866
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -World Wide Web is enormous compilation of multi- variant data. For better knowledge management it is important to retrieve accurate and complete data. The hidden Web, also known as the invisible Web or deep Web, has given rise to a new issue of Web mining research. Most documents in the hidden Web, including pages hidden behind search forms, specialized databases, and dynamically generated Web pages, are not accessible by general Web mining application. In this paper a system is designed that has a robust ability to access these hidden web pages using web structure mining techniques for better knowledge management. As dynamic content generation is used in modern web pages and user forms are used to get information from a particular user and stored in a database. The link structure lying in these forms can not be accessed during conventional mining procedures. The accuracy ratio of web page hierarchical structures can be improved by including these hidden web pages in the process of Web structure mining. The designed system is adequately strong to process the dynamic Web pages along with static ones. 84 pp. Englisch. Nº de ref. del artículo: 9783844380866
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Web Content Mining from Hidden Web
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844380868
ISBN 13: 9783844380866
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Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Naeem Muhammad AsifM. Asif Naeem holds a PhD from University of Auckland, New Zealand. He did his MS from Balochistan University of Information Technology and Management Science, Pakistan in 2006. His research interests include o. Nº de ref. del artículo: 5475625
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Web Content Mining from Hidden Web : A Methodical Web Mining Approach for Automated Information Extraction from Dynamic Web pages
Publicado por
LAP LAMBERT Academic Publishing, 2011
ISBN 10: 3844380868
ISBN 13: 9783844380866
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Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - World Wide Web is enormous compilation of multi- variant data. For better knowledge management it is important to retrieve accurate and complete data. The hidden Web, also known as the invisible Web or deep Web, has given rise to a new issue of Web mining research. Most documents in the hidden Web, including pages hidden behind search forms, specialized databases, and dynamically generated Web pages, are not accessible by general Web mining application. In this paper a system is designed that has a robust ability to access these hidden web pages using web structure mining techniques for better knowledge management. As dynamic content generation is used in modern web pages and user forms are used to get information from a particular user and stored in a database. The link structure lying in these forms can not be accessed during conventional mining procedures. The accuracy ratio of web page hierarchical structures can be improved by including these hidden web pages in the process of Web structure mining. The designed system is adequately strong to process the dynamic Web pages along with static ones. Nº de ref. del artículo: 9783844380866
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Web Content Mining from Hidden Web
Publicado por
LAP LAMBERT Academic Publishing Mai 2011, 2011
ISBN 10: 3844380868
ISBN 13: 9783844380866
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
Calificación del vendedor: 5 de 5 estrellas
Taschenbuch. Condición: Neu. Neuware -World Wide Web is enormous compilation of multi- variant data. For better knowledge management it is important to retrieve accurate and complete data. The hidden Web, also known as the invisible Web or deep Web, has given rise to a new issue of Web mining research. Most documents in the hidden Web, including pages hidden behind search forms, specialized databases, and dynamically generated Web pages, are not accessible by general Web mining application. In this paper a system is designed that has a robust ability to access these hidden web pages using web structure mining techniques for better knowledge management. As dynamic content generation is used in modern web pages and user forms are used to get information from a particular user and stored in a database. The link structure lying in these forms can not be accessed during conventional mining procedures. The accuracy ratio of web page hierarchical structures can be improved by including these hidden web pages in the process of Web structure mining. The designed system is adequately strong to process the dynamic Web pages along with static ones.Books on Demand GmbH, Überseering 33, 22297 Hamburg 84 pp. Englisch. Nº de ref. del artículo: 9783844380866
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