Abstract
The web is being increasingly used as a borderless marketplace for the purchase and exchange of goods, the most prominent among them being information. To remain competitive, companies must recognize the interests and demands of their users and adjust their products, services and sites accordingly. In this tutorial, we discuss data mining for the web. The relevant research can be categorized into (i) web usage mining, focussing in the analysis of the navigational activities of web users, (ii) web text mining, concentrating on the information being acquired by the users and (iii) user modelling, which exploits all information and knowledge available about the web users to build user profiles.
Cite
CITATION STYLE
Spiliopoulou, M. (1999). Data mining for the web. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 1704, pp. 588–589). Springer Verlag. https://doi.org/10.1007/978-3-540-48247-5_81
Register to see more suggestions
Mendeley helps you to discover research relevant for your work.
