Add to ORKGThis research proposes a predictive modeling framework for Web user behavior with Web usage mining (WUM). The proposed predictive model utilizes sequence-based clustering, in order to group Web users into clusters with similar Web browsing behavior and Markov chains, in order to model Web users’ Web navigation behavior. This research will also provide a performance evaluation framework and suggest WUM systems that can improve advertisement placement and target marketing in a Web site
Predicting the next request of a user as she visits Web pages has gained importance as Web-based act...
As Web sites continue to grow in size and complexity, the results of Web usage mining have become cr...
AbstractWeb Usage Mining (WUM) is the automatic discovery of user access pattern from web servers. O...
Abstract — Due to the popularity of World Wide Web, many organizations have changed the way of doing...
Web usage mining is usually defined as the discipline that concentrates on developing techniques tha...
The web user sessions are clustered with incorporating the sequence of web page visits. A sequence-b...
To provide intelligent personalized online services such as web recommender systems, it is usually n...
Nowadays many internet users prefer to navigate their interest web pages in special web site rather ...
Today, Internet is playing such a significant role in our day-to-day life. We have witnessed the eve...
This paper focuses on users’ behavior towards an EC website. A novel Markov Chain-based way combinin...
[Abstract]: Predicting the next page to be accessed by Web users has attracted a large amount of res...
Web usage mining has become the subject of exhaustive research, as its potential for Web based pers...
Web page prefetching has been widely used to reduce the access latency problem of the Internet. Howe...
Web usage mining (WUM) is one of the type of data mining method which is used for analysing web usag...
This thesis explored the application of sequence alignment in web usage mining, including user clust...
Predicting the next request of a user as she visits Web pages has gained importance as Web-based act...
As Web sites continue to grow in size and complexity, the results of Web usage mining have become cr...
AbstractWeb Usage Mining (WUM) is the automatic discovery of user access pattern from web servers. O...
Abstract — Due to the popularity of World Wide Web, many organizations have changed the way of doing...
Web usage mining is usually defined as the discipline that concentrates on developing techniques tha...
The web user sessions are clustered with incorporating the sequence of web page visits. A sequence-b...
To provide intelligent personalized online services such as web recommender systems, it is usually n...
Nowadays many internet users prefer to navigate their interest web pages in special web site rather ...
Today, Internet is playing such a significant role in our day-to-day life. We have witnessed the eve...
This paper focuses on users’ behavior towards an EC website. A novel Markov Chain-based way combinin...
[Abstract]: Predicting the next page to be accessed by Web users has attracted a large amount of res...
Web usage mining has become the subject of exhaustive research, as its potential for Web based pers...
Web page prefetching has been widely used to reduce the access latency problem of the Internet. Howe...
Web usage mining (WUM) is one of the type of data mining method which is used for analysing web usag...
This thesis explored the application of sequence alignment in web usage mining, including user clust...
Predicting the next request of a user as she visits Web pages has gained importance as Web-based act...
As Web sites continue to grow in size and complexity, the results of Web usage mining have become cr...
AbstractWeb Usage Mining (WUM) is the automatic discovery of user access pattern from web servers. O...