Rough sets approach in knowledge data base discovery.

Heuristic Knowledge Discovery 1 Running head: Heuristic Knowledge Discovery, Genetic Algorithms and Rough Sets Heuristic Knowledge Discovery for Archaeological Data Using Genetic Algorithms and Rough Sets

The goal for of this research is to investigate and develop heuristic tools in order to extract meaningful knowledge from archeological large-scale data sets. Database queries help us to answer only simple questions. Intelligent search tools integrate heuristics with knowledge discovery tools and they use data to build models of the real world. We would like to investigate these tools and combi...

Knowledge Discovery in Databases: Rough Set Approach

An Overview of Heuristic Knowledge Discovery for Large Data Sets Using Genetic Algorithms and Rough Sets

Uninformed or blind search, which processes and evaluates all nodes of a search space in the worst case, is not realistic for extracting knowledge from large data sets because of time constraints that are close related to the dimension of the data. Generally, the search space increases exponentially with problem size thereby limiting the size of problems which can realistically be solved using ...

A New Approach for Knowledge Based Systems Reduction using Rough Sets Theory (RESEARCH NOTE)

Problem of knowledge analysis for decision support system is the most difficult task of information systems. This paper presents a new approach based on notions of mathematical theory of Rough Sets to solve this problem. Using these concepts a systematic approach has been developed to reduce the size of decision database and extract reduced rules set from vague and uncertain data. The method ha...

Rough Sets: A Knowledge Discovery Technique for Multifactorial Medical Outcomes

Rough sets is a fairly new and promising technique for data mining and knowledge discovery from databases. Most introductory articles to rough sets are highly technical and mathematically oriented. This tutorial paper presents the fundamentals of rough set theory in a non-technical manner, and outlines how the technique can be used to extract minimal if-then rules from tables of empirical data ...