Knowledge discovery systems for databases are employed to provide valuable insights into characteristics and relationships that may exist in the data, but are unknown to the user. This paper describes a methodology and system for performing knowledge discovery across multiple databases. These enhancements have been integrated into the prototype knowledge discovery system called INLEN. The enhan...

This Special Issue contains modified and extended versions of nine papers presented at the Fifteenth International Symposium on Methodologies for Intelligent Systems (ISMIS05) which took place in the Inn Hotel at Saratoga Springs, New York on May 25-28, 2005. The goal of ISMIS symposia [1], [2], [3], [4], [5], [6] is to provide a platform for a useful exchange between theoreticians and practiti...

Today medical and Healthcare industry generate loads of diverse data about patients, disease diagnosis, prognosis, management, hospitals’ resources, electronic patient health records, medical devices and etc. Using the most efficient processing and analyzing method for knowledge extraction is a key point to cost-saving in clinical decision making. Data mining, sometimes called data or knowledge...

Knowledge frontier discovery is a novel technique for identifying interesting subpopulations of a dataset with respect to classification performance. A knowledge frontier is a collection of meaningful groups where any sub-partition with significantly different predictive accuracy is not meaningful. This research introduces knowledge frontiers and knowledge frontier discovery. The first knowledg...

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...

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. ...