Adaptation has long been considered as the Achilles’ heel of case-based reasoning since it requires some domain-specific knowledge that is difficult to acquire. In this paper, two strategies are combined in order to reduce the knowledge engineering cost induced by the adaptation knowledge (AK) acquisition task: AK is learned from the case base by the means of knowledge discovery techniques, and...

Traditionally, the process of turning data into biomedical knowledge has involved "manual" meta-analyses of results reported in journals. Since the amount of scientific data produced in neuroscience today increases dramatically, the resultant expansion of the medical databases has created a significant potential for the design of new data modeling and information retrieval tools and services th...

A Multi Agent Decision System (MADES) is a Multi Agent System built for decision making, where a single decision is output by the system as a group, although internally many decisions may be made locally by the component agents (Giráldez, 97a). The use of the IAO (Intelligent Agents Organization) model (Giráldez, 97b) for MADES has produced accuracy results that improve the results obtained by ...

y Abstract Future research directions in Knowledge Discovery in Databases (KDD) include the ability to extract an overlying concept relating useful data. Current limitations involve the search complexity to nd that concept and what it means to be \useful." The Pattern Theory research crosses over in a natural way to the aforementioned domain. The goal of this paper is threefold. First, we prese...

Agent-Based Knowledge Discovery provides a new technique for performing data-mining over distributed databases. By combining techniques from Distributed AI and Machine Learning, software agents equipped with learning algorithms mine local databases. These agents then co-operate to integrate the knowledge obtained, before presenting the results to the user. We are currently exploring the use of ...

Business information received from advanced data analysis and data mining is a critical success factor for companies wishing to maximize competitive advantage. The use of traditional tools and techniques to discover knowledge is ruthless and does not give the right information at the right time. Knowledge discovery is defined as ``the non-trivial extraction of implicit, unknown, and potentially...

T he proliferation of powerful Web-based search engines that efficiently index and search large document collections has made it easier for the casual user to search and browse text documents on the Web. Although several portals provide comprehensive text information, we have yet to see a similarly comprehensive resource list for locating relevant information in streaming media, whether via sea...

As databases are pervading every parcel of reality, they record what happens in and around organizations all over the world. Databases store the detailed history of organizations, institutions, governments and individuals. An efficient and agile analysis of the data recorded in a database can no longer be done manually. Knowledge Discovery from Databases (KDD) is a collection of technologies wh...