The purpose of this study is to explore the role of knowledge management systems (KMS) in structuring knowledgeable practices within organizations. Specifically, we consider how i...
We describe scoring metrics for learning Bayesian networks from a combination of user knowledge and statistical data. We identify two important properties of metrics, which we cal...
David Heckerman, Dan Geiger, David Maxwell Chicker...
Many applications of knowledge discovery require the knowledge to be consistent with data. Examples include discovering rules for query optimization, database integration, decisio...
Knowledge is a vital component for organisational growth and data mining provides the technological basis for automated knowledge elicitation from data sources. The emergence of Ap...
Shonali Krishnaswamy, Seng Wai Loke, Arkady B. Zas...