Decision support systems (DSSs) are prevalent information systems for decision making in many competitive business environments. In a DSS, decision making process is intimately related to some factors which determine the quality of information systems and their related products. Traditional approaches to data analysis usually cannot be implemented in sophisticated Companies, where managers ne...

The Knowledge Base Discovery Tool (KBDT) is a suite of tools and components to improve the indexing of and search for documents. KBDT extracts and displays content from documents and builds knowledge indexes based on meaning, rather than keywords. KBDT uses the indexes to perform more intelligent searches. It also includes visualization technology to display relevant results using multi-media, ...

(KDD) field draws on findings from statistics, databases, and artificial intelligence to construct tools that let users gain insight from massive data sets. People in business, science, medicine, academia, and government collect such data sets, and several commercial packages now offer general-purpose KDD tools. An important KDD goal is to “turn data into knowledge.” For example, knowledge acqu...

The ability to discover services in Mobile Ad hoc Network (MANET) is a major prerequisite. Cluster basedcross layer intelligent service discovery for MANET (CBISD) is cluster based architecture, caching ofsemantic details of services and intelligent forwarding using network layer mechanisms. The cluster basedarchitecture using semantic knowledge provides scalability and accuracy. Also, the mini...

Knowledge management is a process which comprises knowledge discovery, knowledge collection, knowledge organization and knowledge process. Among these four process knowledge discovery is integrated with semantic web for enhanced information retrivel. Knowledge discovery is the process of automatically searching large volume of data for patterns that can be considered knowledge about the data. T...

We describe various methods designed to discover knowledge in the GenBank nucleic acid sequence database. Using a grammatical model of gene structure, we create a parse tree of a gene using features listed in the FEATURE TABLE. The parse tree infers features that are not explicitly listed, but which follow from the listed features. This method discovers 30% more introns and 40% more exons when ...

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...