Add to ORKGHybrid of genetic algorithm and great deluge algorithm for rough set attribute reductio
The article is dedicated to the area of an ensemble of classifiers, in particular, the issues relate...
The article is dedicated to the area of an ensemble of classifiers, in particular, the issues relate...
Rough Sets Theory has opened new trends for the development of the Incomplete Information Theory. In...
The genetic algorithm is used to optimize the algorithm of attribute reduction in data preprocessing...
One of the global combinatorial optimization problems in machine learning is feature selection. It c...
One of the global combinatorial optimization problems in machine learning is feature selection. It c...
This paper proposes a local search meta-heuristic free of parameter tuning to solve the attribute re...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
This work deals with finding minimal reducts of decision table based on the rough sets theory. Its g...
The number of data will grow rapidly and showed a significant increase every day. This data comes fr...
In this paper, a hybrid approach incorporating genetic algorithm and rough set theory into Feature S...
Genetic algorithm is an important algorithm of association rule mining. However, there is some issue...
Abstract In this paper, we propose novel methods to find the best relevant feature subset using fuzz...
Attribute selection (Feature Selection) is a significant technique for data preprocessing and dimens...
The article is dedicated to the area of an ensemble of classifiers, in particular, the issues relate...
The article is dedicated to the area of an ensemble of classifiers, in particular, the issues relate...
The article is dedicated to the area of an ensemble of classifiers, in particular, the issues relate...
Rough Sets Theory has opened new trends for the development of the Incomplete Information Theory. In...
The genetic algorithm is used to optimize the algorithm of attribute reduction in data preprocessing...
One of the global combinatorial optimization problems in machine learning is feature selection. It c...
One of the global combinatorial optimization problems in machine learning is feature selection. It c...
This paper proposes a local search meta-heuristic free of parameter tuning to solve the attribute re...
All in-text references underlined in blue are linked to publications on ResearchGate, letting you ac...
This work deals with finding minimal reducts of decision table based on the rough sets theory. Its g...
The number of data will grow rapidly and showed a significant increase every day. This data comes fr...
In this paper, a hybrid approach incorporating genetic algorithm and rough set theory into Feature S...
Genetic algorithm is an important algorithm of association rule mining. However, there is some issue...
Abstract In this paper, we propose novel methods to find the best relevant feature subset using fuzz...
Attribute selection (Feature Selection) is a significant technique for data preprocessing and dimens...
The article is dedicated to the area of an ensemble of classifiers, in particular, the issues relate...
The article is dedicated to the area of an ensemble of classifiers, in particular, the issues relate...
The article is dedicated to the area of an ensemble of classifiers, in particular, the issues relate...
Rough Sets Theory has opened new trends for the development of the Incomplete Information Theory. In...