We consider a model in which background knowledge on a given domain of interest is available in terms of a Bayesian network, in addition to a large database. The mining problem is...
Inductive databases (IDBs) have been proposed to afford the problem of knowledge discovery from huge databases. With an IDB the user/analyst performs a set of very different operat...
This paper describes a web-based system that integrates knowledge management and decision-making features to enable short-term communities of practice develop manufacturing strate...
Nikos I. Karacapilidis, Emmanuel Adamides, Christi...
Traditional methods for data mining typically make the assumption that data is centralized and static. This assumption is no longer tenable. Such methods waste computational and I/...
Adriano Veloso, Matthew Eric Otey, Srinivasan Part...
This paper describes how an integrated web-based application, code-named FOCI (Flexible Organizer for Competitive Intelligence), can help the knowledge worker in the gathering, or...
Hwee-Leng Ong, Ah-Hwee Tan, Jamie Ng, Hong Pan, Qi...