Learn More
This paper proposes functional networks as an unconstrained classifier scheme for multivariate data to diagnose the breast cancer tumor. The performance of this new technique is measured using two well known databases under the minimum description length criterion, the results are compared with the most common existing classi-fiers in both computer science(More)
Clinical databases have accumulated large quantities of information about patients and their clinical histories. Data mining is the search for relationships and patterns within this data that could provide useful knowledge for effective decision-making. Classification analysis is one of the widely adopted data mining techniques for healthcare applications(More)
Next generation of information systems will rely on cooperative intelligent agents for playing a fundamental role in actively searching and finding relevant information on behalf of their users in complex and open environments, such as the Internet. User Interface Agents (UIA) are semi-intelligent systems, which help the users to access, manage share and(More)
The primary application domain of Kodama 1 is the World Wide Web and its purpose in this application is to assist users to find desired information. Three different categories of Kodama's agents are introduced here, Web Page Agents (WPA), Server Agents (SA), and User Interface Agents (UIA). Kodama agents learn and adapt to the User's Preferences (UP), which(More)