Web Content Mining from Hidden Web: A Methodical Web Mining Approach for Automated Information Extraction from Dynamic Web pages - Couverture souple

Naeem, Muhammad Asif; Sarwar Bajwa, Imran; Abbas Choudhary, M.

 
9783844380866: Web Content Mining from Hidden Web: A Methodical Web Mining Approach for Automated Information Extraction from Dynamic Web pages
Couverture souple
ISBN 10 : 3844380868 ISBN 13 : 9783844380866
Editeur : LAP LAMBERT Academic Publishing, 2011

Synopsis

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3844380868
ISBN 13 
9783844380866
Reliure
Broché
Nombre de pages
84
Coordonnées du fabricant
non disponible
Personne responsable
KreGa Onlinehandel GmbH
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