Rough set theory is a new method that deals with vagueness and uncertainty emphasized in decision making. The theory provides a practical approach for extraction of valid rules fromdata.This paper discusses about rough sets and fuzzy rough sets with its applications in data mining that can handle uncertain and vague data so as to reach at meaningful conclusions
With the development of data mining and soft computing techniques, it becomes possible to automatica...
AbstractThis paper reflects the trends of the past years based on the diffusion of various tradition...
Abstract: The rough set theory, which originated in the early 1980s, provides an alternative approac...
Rough set theory is a new mathematical approach to vagueness and uncertainty. The theory has found m...
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artifici...
Abstract- Rough set theory has emerged as a useful mathematical tool to extract conclusions or decis...
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artifici...
Data used in machine learning applications is prone to contain both vague and incomplete information...
Abstract: Yesteryear data mining technology follows traditional approach that offers only statistica...
An integration between the theories of fuzzy sets and rough sets has been attempted by providing a m...
This paper concerns the modeling of imprecision, vagueness, and uncertainty in databases through an ...
This work is about the possibilities of using new approaches and technologies in process of data min...
Abstract—Rough set theory is a popular and powerful machine learning tool. It is especially suitable...
Rough set theory and fuzzy logic are mathematical frameworks for granular computing forming a theore...
Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduc...
With the development of data mining and soft computing techniques, it becomes possible to automatica...
AbstractThis paper reflects the trends of the past years based on the diffusion of various tradition...
Abstract: The rough set theory, which originated in the early 1980s, provides an alternative approac...
Rough set theory is a new mathematical approach to vagueness and uncertainty. The theory has found m...
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artifici...
Abstract- Rough set theory has emerged as a useful mathematical tool to extract conclusions or decis...
Rough set theory has been used extensively in fields of complexity, cognitive sciences, and artifici...
Data used in machine learning applications is prone to contain both vague and incomplete information...
Abstract: Yesteryear data mining technology follows traditional approach that offers only statistica...
An integration between the theories of fuzzy sets and rough sets has been attempted by providing a m...
This paper concerns the modeling of imprecision, vagueness, and uncertainty in databases through an ...
This work is about the possibilities of using new approaches and technologies in process of data min...
Abstract—Rough set theory is a popular and powerful machine learning tool. It is especially suitable...
Rough set theory and fuzzy logic are mathematical frameworks for granular computing forming a theore...
Rough set theory is a powerful tool to analysis the information systems. Fuzzy rough set is introduc...
With the development of data mining and soft computing techniques, it becomes possible to automatica...
AbstractThis paper reflects the trends of the past years based on the diffusion of various tradition...
Abstract: The rough set theory, which originated in the early 1980s, provides an alternative approac...
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