Web Mining Algorithms - Couverture souple

Srikantaiah, K. C.; Venugopal, K. R.

 
9783659531736: Web Mining Algorithms
Couverture souple
ISBN 10 : 3659531731 ISBN 13 : 9783659531736
Editeur : LAP LAMBERT Academic Publishing, 2014

Synopsis

World Wide Web (WWW) is a collection of interconnected Web pages accessed via Internet offering information and services from all over the world. There is an explosive growth of information in the Web that poses a challenge to Web users to extract essential knowledge from it. Web Mining is a process of extracting knowledge from WWW using Data mining Techniques. The Web contains Semistructured data like Web pages and Web logs. Mining of Semistructured data involves, (i) extraction of required information from the Deep Web which is not accessible to the search engines, (ii) careful exploitation of extracted data for enhancing the services offered by Web tools such as finding synonyms for search keywords and (iii) ranking the Web pages obtained from the results. To improve the overall performance of the Web, Web logs are mined to derive patterns to predict user behaviour. These patterns can be analysed and used for many applications such as generation of prefetching rules, construction of community Web directories for personalization. These techniques improve availability of web objects, reduce latency and utilize bandwidth efficiently in accessing the Internet.

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

Présentation de l'éditeur

World Wide Web (WWW) is a collection of interconnected Web pages accessed via Internet offering information and services from all over the world. There is an explosive growth of information in the Web that poses a challenge to Web users to extract essential knowledge from it. Web Mining is a process of extracting knowledge from WWW using Data mining Techniques. The Web contains Semistructured data like Web pages and Web logs. Mining of Semistructured data involves, (i) extraction of required information from the Deep Web which is not accessible to the search engines, (ii) careful exploitation of extracted data for enhancing the services offered by Web tools such as finding synonyms for search keywords and (iii) ranking the Web pages obtained from the results. To improve the overall performance of the Web, Web logs are mined to derive patterns to predict user behaviour. These patterns can be analysed and used for many applications such as generation of prefetching rules, construction of community Web directories for personalization. These techniques improve availability of web objects, reduce latency and utilize bandwidth efficiently in accessing the Internet.

Biographie de l'auteur

Dr. Srikantaiah K C, is an Associate Professor in the Dept. of CSE, at SJBIT, Bangalore, India. He obtained his B.E, M.E and Ph.D degrees in Computer Science and Engineering from Bangalore University, Bangalore. He has 14 years of teaching experience. His research interest is in the area of Data Mining, Web and Time Series Mining and Semantic Web.

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
2014
Langue
anglais
ISBN 10 
3659531731
ISBN 13 
9783659531736
Reliure
Broché
Nombre de pages
204
Coordonnées du fabricant
non disponible
Personne responsable
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