In this paper we extend the state-of-the-art in utilizing background knowledge for supervised classification by exploiting the semantic relationships between terms explicated in O...
Meenakshi Nagarajan, Amit P. Sheth, Marcos Kawazoe...
Fractional Brownian motion (fBm) emerged as a useful model for self-similar and long-range dependent Internet traffic. Asymptotic, respectively, approximate performance measures ar...
This paper develops a simple model that explores the extent to which differences in connectivity quality can be effective incentives (or disincentives) towards migrating to an IPv...
As context is acknowledged as an important factor that can affect users’ preferences, many researchers have worked on improving the quality of recommender systems by utilizing ...
Abstract. Todays information systems are built using various component models such as Enterprise Java Beans, JavaBeans, Microsoft COM+, and CORBA distributed objects. In this paper...