During the past number of years, machine learning and data mining techniques have
received considerable attention among the intrusion detection researchers to address the …

Understanding human behaviour in electronic spaces is of central importance in modern
business intelligence and web behaviour mining. We present a novel analytic framework …

Abstract Knowledge regarding user browsing behavior on corporate Intranet may shed light
on general behavioral principles of users in Intranet spaces, and assist organizations in …

Abstract The Semantic Web technology should enable publishing of numerous resources of
scientific and other, highly formalized data on the Web. The application of mining these …

Extraction, synthesis, and analysis of human behavior in electronic environments are of
central importance in web behavior mining, user modeling, personalization, and …

We present a formal approach to analysis of human browsing behavior in electronic spaces.
An analysis of knowledge workers' interactions on a large corporate intranet have revealed …

We present a novel recommendation algorithm for browsing assistance systems. The
algorithm efficiently utilizes a priori knowledge of human interactions in electronic …

Elucidation of human browsing behavior in electronic spaces has been attracting substantial
attention in academic and commercial spheres. We present a novel formal approach to …

Especially with the wide use of dynamic page generation, and richer user interaction in Web,
traditional web usage mining methods, which are based on the pageview concept are of …

Improved usability and efficiency of organizational information systems brings economical
benefits to the organization and time benefits to the users. We present a browsing …