Web-usage mining has become the subject of intensive research, as its potential for
personalized services, adaptive Web sites and customer profiling is recognized. However …

We present a study of the automatic classification of web user navigation patterns and
propose a novel approach to classifying user navigation patterns and predicting users' future …

We investigate and compare online consumer behavior on an e-retailer website in mobile
versus PC devices, through the application of a web usage mining approach on clickstream …

Web usage mining is application of data mining techniques to discover usage patterns from
web data, in order to better serve the needs of web based applications. The user access log …

We describe an efficient framework for Web personalization based on sequential and non-
sequential pattern discovery from usage data. Our experimental results performed on real …

Organizations conducting Electronic Commerce (e-commerce) can greatly benefit from the
insight that data mining of transactional and clickstream data provides. Such insight helps …

Web usage mining has become the subject of exhaustive research, as its potential for Web-
based personalized services, prediction of user near future intentions, adaptive Web sites …

It is well known that website success relies heavily on its usability. Previous studies find that
website usability depends greatly upon its visual complexity which has significant effects on …

We show that the e-commerce domain can provide all the right ingredients for successful
data mining. We describe an integrated architecture for supporting this integration. The …

The analysis of user behavior on the Web presupposes a reliable reconstruction of the
users' navigational activities. Cookies and server-generated session identifiers have been …