A Rough Set Theory based Approach for Massive Data Mining

Application of Rough Set Theory in Data Mining for Decision Support Systems (DSSs)

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...

Mining Incomplete Data - A Rough Set Approach

Mining Numerical Data - A Rough Set Approach

Rough Set Theory In Data Mining Ppt

Rough set theory provides a useful mathematical concept to draw tends to serve well for data mining applications whereas the predictive model. The rough set toolkit for analysis of data (ROSETTA), which is an advanced machine learning algorithms for data mining tasks implemented in Java (33). Therefore, this paper presents the RoughSets package that allows researchers. Zdzislaw Pawlak, Rough Se...

Routing Attribute Data Mining Based on Rough Set Theory

QOSPF (Quality of Service Open Shortest Path First) based on QoS routing has been recognized as a missing piece in the evolution of QoS-based services on the Internet. Data mining has emerged as a tool for data analysis, discovery of new information, and autonomous decision making. This article focuses on routing algorithms and their applications for computing QoS routes in OSPF protocol. The p...