Volume III of the Transactions on Rough Sets (TRS) introduces advances in the theory and
application of rough sets. These advances have far-reaching impli-tions in a number of …

Discovering useful models capturing regularities of natural phenomena or complex systems
until recently was almost entirely limited to finding formulae fitting empirical data. This …

The aim of this paper is to give rudiments of rough set theory and present some recent
research directions proposed by the author. Rough set theory is a new mathematical …

Rough set theory (RST) has enjoyed an enormous amount of attention in recent years and
has been applied to many real-world problems including data mining, pattern recognition …

The articles in this volume were selected for presentation at the Sixth Inter-tional Conference
on Rough Sets and Current Trends in Computing (RSCTC 2008), which took place on …

Along the years, rough set theory has earned a well-deserved reputation as a sound
methodology for dealing with imperfect knowledge in a simple though mathematically sound …

The chapter is focused on the data mining aspect of the applications of rough set theory.
Consequently, the theoretical part is minimized to emphasize the practical application side …

Worldwide, there has been a rapid growth in interest in rough set theory and its applications
in recent years. Evidence of this can be found in the increasing number of high-quality …

This volume contains the papers selected for presentation at the 5th International
Conference on Rough Sets and Current Trends in Computing (RSCTC 2006) held in Kobe …

Data mining (DM) can be perceived as a methodology for discovering hidden patterns in
data. DM is a relatively new area of research and applications, stretching, over many …