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Web bots are vital for the web as they can be used to automate several actions, some of which would have otherwise been impossible or very time consuming. These actions can be benign, such as website testing and web indexing, or malicious, such as ...

“Wiki rabbit holes” are informally defined as navigation paths followed by Wikipedia readers that lead them to long explorations, sometimes involving unexpected articles. Although wiki rabbit holes are a popular concept in Internet culture, our current ...

Learning management system (LMS) web logs provide granular, near-real-time records of student behavior as learners interact with online course materials in digital learning environments. However, it remains unclear whether LMS activity indeed reflects ...

Attacks against web servers are one of the most serious threats in security fields. Attackers are able to make the computer systems more vulnerable. Analysing the web logs is one of the most effective methods to identify malicious behaviours. In this ...

Search engine logs contain a large amount of users' click-through data that can be leveraged as implicit indicators of relevance. In this paper we address ad recommendation problem that finding and ranking the most relevant ads with respect to users' ...

Current learning services are increasingly based on standard Web technologies and concepts. As by-product of service operation, Web logs capture and contextualize user interactions in a generic manner, in high detail, and on a massive scale. At the same ...

Recommender System has become the necessary agent for a naive user in the information bombardment arena of World Wide Web. In the last decade, World Wide Web emerged as an all encompassing technology that is revolutionizing the way people live. With the ...

Web Log files need to be analyzed to identify usage and access trends and to provide useful information to web site developers and administrators so as to create adaptive web sites. In this work we propose a general automated approach towards collecting ...

Users searching for information in a digital library or on the WWW can be modeled as individuals moving through a semantic space by issuing queries and clicking on hyperlinks. As they go, they emit a stream of interaction data. Most of it is linguistic ...

Over the decades, the imparting of knowledge by teachers have always been proven challenging. Research in teaching has contributed to some improvement in teaching. In the Caribbean, financial assistance for research in teaching is very limited. This ...

Web logs (blogs) are a fast growing forum for people of all ages to express their feelings and opinions on topics of interest. The entries are often written in informal language without the structure found in newswire or published articles. One blog ...

As the number of web logs dramatically grows, readers are turning to them as an important source of information. Automatic techniques that identify the political sentiment of web log posts will help bloggers categorize and filter this exploding ...

Mining frequent traversal patterns is to discover the reference paths traversed by a sufficient number of users from web logs, which can be used for prefetching and suggestion for web users. However, the discovered frequent traversal patterns may become ...

Mining frequent patterns is an important component of many prediction systems. One common usage in web applications is the mining of users' access behavior for the purpose of predicting and hence pre-fetching the web pages that the user is likely to ...

The architecture of Blue Martini Software's e-commerce suite has supported data collection, data transformation, and data mining since its inception. With clickstreams being collected at the application-server layer, high-level events being logged, and ...

This paper presents a set of visualization methods incorporated in a system for internal technologically mediated communication and information management. This system, which assumes an organizational context and an intranet built on World Wide Web ...

Analyzing Web Logs for usage and access trends can not only provide important information to web site developers and administrators, but also help in creating adaptive web sites. While there are many existing tools that generate fixed reports from web ...

WebAware is a system that makes information about web site traffic available in a public space. The information is presented in a dynamic visualization, which is based on a map of the web site and designed to give an overview of how the site is ...