The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Applications of Web Usage Mining across Industries
Abstract
Web Usage Mining (WUM) is the process of discovery and analysis of useful information from the World Wide Web (WWW) by applying data mining techniques. The main research area in Web mining is focused on learning about Web users and their interactions with Web sites by analysing the log entries from the user log file. The motive of mining is to find users' access models automatically and quickly from the vast Web log data, such as similar queries imposed by the various users, frequent queries applied by the user, frequent web sites visited by the users, clustering of users with similar intent etc. This chapter deals with Web mining, Categories of Web mining, Web usage mining and its process, Applications of Web usage mining across the industries and its related works. This Chapter offers a general knowledge about Web usage mining and its applications for the benefits of researchers those performing research activities in WUM.
Related Content
|
Dina Darwish.
© 2024.
28 pages.
|
|
Dina Darwish.
© 2024.
28 pages.
|
|
Muhammad Ahmed, Adnan Ahmad, Furkh Zeshan, Hamid Turab.
© 2024.
33 pages.
|
|
Pankaj Bhambri.
© 2024.
17 pages.
|
|
Kaushikkumar Patel.
© 2024.
20 pages.
|
|
Vijaya Kittu Manda, Arnold Mashud Abukari, Vivek Gupta, Madavarapu Jhansi Bharathi.
© 2024.
24 pages.
|
|
Pankaj Bhambri.
© 2024.
17 pages.
|
|
|