Rough sets provide a useful tool for data preprocessing during data mining. However, many algorithms related to some problems in rough sets, such as attribute reduction, are greedy ones. Matroids propose a good platform for greedy algorithms. Therefore, it is important to study the combination between rough sets and matroids. In this paper, we investigate rough sets and matroids through their operators, and provide a matroidal method for attribute reduction in information systems. Firstly, we generalize four operators of rough sets to four operators of matroids through the interior, closure, exterior and boundary axioms, respectively. Thus, there are four matroids induced by these four operators of rough sets. Then, we find that these four ...
[[abstract]]For data mining or machine learning, the plethora of parameters that may affect the effi...
this paper a formal definition of a rough classifier is given. We present an e cient algorithm of th...
Attribute reduction is one of the most important problems in rough set theory. However, from the gra...
In this paper, we present a new closure operator defined on the set of attributes of an information ...
In this paper, we present a new closure operator defined on the set of attributes of an information ...
Abstract—Rough sets are efficient for data pre-process in data mining. Lower and upper approximation...
This paper presents the concept of lower and upper rough matroids based on approximation operators f...
This paper presents the concept of lower and upper rough matroids based on approximation operators f...
AbstractThis paper studies rough sets from the operator-oriented view by matroidal approaches. We fi...
Covering-based rough set theory is a useful tool to deal with inexact, uncertain or vague knowledge ...
Abstract:- Rough sets theory is an effective mathematical tool dealing with vagueness and uncertaint...
Rough sets are efficient for attribute reduction and in extracting rules in data mining. There are m...
This paper presents some functional dependency relations defined on the attribute set of an informat...
Abstract. In this paper, we propose a new type of matroids, namely covering matroids, and investigat...
AbstractSet-valued information systems are generalized models of single-valued information systems. ...
[[abstract]]For data mining or machine learning, the plethora of parameters that may affect the effi...
this paper a formal definition of a rough classifier is given. We present an e cient algorithm of th...
Attribute reduction is one of the most important problems in rough set theory. However, from the gra...
In this paper, we present a new closure operator defined on the set of attributes of an information ...
In this paper, we present a new closure operator defined on the set of attributes of an information ...
Abstract—Rough sets are efficient for data pre-process in data mining. Lower and upper approximation...
This paper presents the concept of lower and upper rough matroids based on approximation operators f...
This paper presents the concept of lower and upper rough matroids based on approximation operators f...
AbstractThis paper studies rough sets from the operator-oriented view by matroidal approaches. We fi...
Covering-based rough set theory is a useful tool to deal with inexact, uncertain or vague knowledge ...
Abstract:- Rough sets theory is an effective mathematical tool dealing with vagueness and uncertaint...
Rough sets are efficient for attribute reduction and in extracting rules in data mining. There are m...
This paper presents some functional dependency relations defined on the attribute set of an informat...
Abstract. In this paper, we propose a new type of matroids, namely covering matroids, and investigat...
AbstractSet-valued information systems are generalized models of single-valued information systems. ...
[[abstract]]For data mining or machine learning, the plethora of parameters that may affect the effi...
this paper a formal definition of a rough classifier is given. We present an e cient algorithm of th...
Attribute reduction is one of the most important problems in rough set theory. However, from the gra...