Although BNs have been used successfully for many medical diagnosis problems, there have been few applications to epidemiological data where data mining methods play a significant role. In this paper, we look at the application of BNs to epidemiological data,…

Data mining researchers have long been concerned with the application of tools to facilitate and improve data analysis on large, complex data sets. The current challenge is to make data mining and knowledge discovery systems applicable to a wider range…

Problem-based learning (PBL) is the use of a “real world” problem or situation as a context for learning. The present study explores the use of PBL in an online biotechnology course. In the PBL unit, student groups dealt with the…

The rapid growth of online learning has led to the development of faculty inservice evaluation models that are geared towards the demands of quality improvement of degree programs. Based on the best practices of student online assessment, the Online Faculty…

Academic engineering graphics curricula are facing a rapidly changing knowledge base and current teaching and assessment methods are struggling to keep pace.  This paper is the second in a two-part series which examines practicing engineering graphics professionals to discover their…

Lawyers often need to look for previous similar legal cases when analysing new ones.
The more previous cases, the more time is spent. Classical search engines execute termbased retrieval, which may miss relevant documents as well as fetch several irrelevant…

According to Heritage Watch, a collaborative NGO based
in Cambodia which is active in archaeological salvage
work, village outreach and education, the looting of
archaeological sites in Cambodia has now reached “epic
proportions.” Although increased security and tourism
provide protection…

Software tools processing partially common set of data should share an understanding of what these data mean. Since ontologies have been used to express formally a shared understanding of information, we argue that they can be used to improve integration…

In systems where agents are required to interact with a partially known and dynamic world, sensors can be used to obtain further knowledge about the environment. However, sensors may be unreliable, that is, they may deliver wrong information (due, e.g.,…

Speech synthesis is an automatic encoding process carried out by machine through which symbols conveying linguistic information are converted into an acoustic waveform. In the past decade or so, a recent trend toward a non-parametric, corpus-based approach has focused on…