Text mining in big data analytics is emerging as a powerful tool for harnessing the power of
unstructured textual data by analyzing it to extract new knowledge and to identify significant …

In this paper a novel approach for analyzing web user behavior and preferences on a web
site is introduced, consisting of a physiological-based analysis for the assessment of a web …

With the rapid development of the Internet and the continuous progress of computer science
and technology, Internet-based online trading has developed rapidly and improved the …

Delivering high-quality content is crucial for effective reading comprehension and successful
learning. Ensuring educational materials are interpreted as intended by their authors is a …

The analysis of human behaviour has been conducted within diverse disciplines, such as
psychology, sociology, economics, linguistics, marketing and computer science. Hence, a …

In this paper, we proposed a combinational framework, called Aleph checker (similar to spell
checker), to select the correct form of Aleph in Perso-Arabic words. This system tries to check …

A challenge that course authors face when reviewing their contents is to detect how to
improve their courses in order to meet the expectations of their learners. In this paper, we …

This thesis inspects the usefulness of web analytics data in a context of an eGoverment web
service. The aim of the study was to find out what can be learned about the user behavior …

Online search engines for children are known to filter retrieved resources based on page
complexity, and offer specialized functionality meant to address gaps in search literacy …

En este artıculo se presenta un marco de análisis, basado en la teorıa de grafos, para
estudiar la evolución temporal de la fijación ocular de los usuarios en un sitio web, con el …