Like traditional media, information on the World Wide Web may encourage both healthy and unhealthy behaviors. This study reports on the content analysis of a particular genre of Web site that promotes unhealthy behaviors: pro-eating disorder Web sites. Framed in message design theory, the results of this study indicate that messages on pro-eating disorder Web sites promote response efficacy in ...

This paper describes a real application proven web mining approach. The approach performs with integrated data comprised of web logs and customer information involved in e-commerce web sites. The objective is to acquire behavior patterns of visitors on web sites. The mining tasks include the customer clustering, association rules among the web pages of visitor traffic, buying patterns of custom...

To satisfy potential customers of a web site and to lead them to the goods o ered by the site, one should support them in the course of navigation they have embarked on. This paper investigates di erent patterns of search in online catalogues. It presents the tool STRATDYN, developed as an add-on module to the Web Usage Miner WUM (http://wum.wiwi.hu-berlin.de). WUM not only discovers frequent s...

With the rapid increasing popularity of the WWW, Websites are playing a crucial role to convey knowledge to the end users. Every request of Web site or a transaction on the server is stored in a file called server log file. Providing Web administrator with meaningful information about user access behavior (also called click stream data) has become a necessity to improve the quality of Web infor...

Abstract Understanding museum visitors’ behavioral patterns may help in predicting their number of visits. The aim the research is to identify trend models associated with visitors, 2012-2019, 2 national museums top most visited Romania: National Museum Natural History “Grigore Antipa” Bucharest and “Peles” Sinaia forecast visitors these objects 2020 2021. Subsequently same methods were used an...

Navigational behavior of website visitors can be extracted from web access log files with data mining techniques such as sequential pattern mining. Visualization of the discovered patterns is very helpful to understand how visitors navigate over the various pages on the site. Currently several web log visualization tools have been developed. However those tools are far from satisfactory. They d...

Web transaction data between web visitors and web functionalities usually convey users’ task-oriented behavior patterns. Clustering web transactions, thus, may capture such informative knowledge, in turn, build user profiles, which are associated with different navigational patterns. For some advanced web applications, such as web recommendation or personalization, the aforementioned work is cr...

With the continued growth and proliferation of e-commerce, Web services, and Web-based information systems, the volumes of clickstream and user data collected by Web-based organizations in their daily operations has reached astronomical proportions. Analyzing such data can help these organizations determine the lifetime value of clients, design cross-marketing strategies across products and ser...