Page 1 Studies in Computational Intelligence 152 S Jarosław Stepaniuk Rough - Granular
Computing in Knowledge Discovery and Data Mining R43 563 0404 R437 R438 Springer …

We present an overview of Rough Granular Computing (RGC) approach to modeling
complex systems and processes. We discuss the granular methodology in conjunction with …

The rapid expansion of the Internet has resulted not only in the ever-growing amount of data
stored therein, but also in the burgeoning complexity of the concepts and phenomena …

In ubiquitous computing, users are expected to continuously interact with computing
devices, to suggest strategies and hypotheses, to pass over new facts from domain …

The aim of the lecture is to provide a survey of state of the art related to a research direction
concerning relationships between rough set theory and concurrency in the context of …

The concept of the complement of a covering is introduced, and then the extended space of
a covering approximation space is induced based on it. Generally, the extended space of a …

We discuss an approach to discovery of concurrent processes from data and domain
knowledge. The approach is based on interactive rough-granular computing (IRGC) and is …

The paper addresses the problem of concept formation (knowledge granulation) in the
settings of rough set theory. The original version of rough set theory implicitly accommodates …

We discuss the notion of risk in generally understood classification support systems. We
propose a method for approximating the loss function and introduce a technique for …

We discuss the problem of measuring the quality of decision support (classification) system
that involves granularity. We put forward the proposal for such quality measure in the case …