Sequential Pattern Mining from Web Log Data: Concepts,Techniques and Applications of Web Usage Mining

Shettar, Rajashree

ISBN 10: 3659135410 / ISBN 13: 9783659135415

Editore: LAP LAMBERT Academic Publishing, 2012

Riguardo questo articolo

New.

Codice articolo ERICA82936591354106

Dati bibliografici

• Titolo: Sequential Pattern Mining from Web Log Data: Concepts,Techniques and Applications of Web Usage Mining
• Editore: LAP LAMBERT Academic Publishing
• Data di pubblicazione: 2012
• Lingua: Inglese
• ISBN 10: 3659135410
• ISBN 13: 9783659135415
• Rilegatura: paperback
• Condizione: New
• Tipo di libro: book

Descrizione articolo

Riassunto

The arrival of World Wide Web (WWW) has brought in huge amount of data which keeps growing dynamically. This necessitates the requirement of new tools and processes that can intelligently and automatically transform data into useful information and knowledge, especially such knowledge, which is subtle and hidden in the data. Knowledge Discovery is such a process. Knowledge discovery takes the form of Web mining for extracting useful and meaningful information from the Web. Web Mining revolves around automatic discovery and extraction of useful information from World Wide Web documents and services. Web usage mining is one of the web mining techniques which involves the task of discovering the activities of the user while they are browsing or navigating through the web. The navigation preferences of the visitors can be analyzed to enhance the quality of electronic commerce services, to personalize the web portion, to improve the web structure and server performances. This book aims at discovering interesting patterns from web log data by means of applying novel algorithms and presenting the results.

L'autore

Presently working as Professor in the Department of Computer Science and Engineering, R. V College of Engineering, Bangalore, Karnataka, INDIA. She acquired Doctoral degree in the year 2010 for the research work on “Knowledge Discovery in Semi-structured Data”. Her research interests are in the area of web mining and data mining.