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 files present very significant information about a web server. This paper is concerned with the in-depth analysis of Web Log Data of NASA website to find information about a web site, top errors, potential visitors ...

The problem of finding quality information and services on the Web is analyzed. We present two user-centered evaluation methodologies to characterize the quality of the Web documents and Web sites that contain these Web documents. These evaluation methodologies are designed using a fuzzy linguistic approach in order to facilitate the expression of qualitative and subjective judgements. These me...

A growing body of research shows positive association between parks and physical activity, but very few studies have investigated the characteristics of users and how the activities vary according to different user groups. The purpose of this study was to investigate the socio-demographic profile of the users, their activities and motivation of visiting the park. Total 400 users of Ramna Park w...

This article reports a content analysis of the privacy policy statements (PPSs) from 97 general reference health Web sites that was conducted to examine the ways in which visitors' privacy is constructed by health organizations. PPSs are formal documents created by the Web site owner to describe how information regarding site visitors and their behavior is collected and used. The results show t...

Nowadays high fuzzy utility based pattern mining is an emerging topic in data mining. It refers to discover all patterns having a high utility meeting a user-specified minimum high utility threshold. It comprises extracting patterns which are highly accessed in mobile web service sequences. Different from the traditional fuzzy approach, high fuzzy utility mining considers not only counts of mob...

The immense capacity of web usage data which survives on web servers contains potentially precious information about the performance of website visitors. Pattern Mining involves applying data mining methods to large web data repositories to extract usage patterns. Due to the emerging reputation of the World Wide Web, many websites classically experience thousands of visitors every day. Examinat...

Categorizing visitors based on their interactions with a website is a key problem in web usage mining. The clickstreams generated by various users often follow distinct patterns, the knowledge of which may help in providing customized content. In this paper, we propose a novel and effective algorithm for clustering webusers based on a function of the longest common subsequence of their clickstr...

In this paper we describe a practical approach for modeling navigation patterns of visitors of unstructured websites. These patterns are derived from web logs that are enriched with 3 sorts of information: (1) content type of visited pages, (2) visitor type, and (3) location of the visitor. We developed an intelligent Text Mining system, iTM, which supports the process of classifying web pages ...

For many companies and/or institutions it is no longer sufficient to have a web site and high quality products or services. What in many cases makes the difference between success and failure of e-business is the potential of the respective web site to attract and retain visitors. This potential is determined by a site’s content, its design, and technical aspects, such as e.g. time to load the ...