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Ensemble selector for attribute reduction

Applied Soft Computing, 2018
Abstract Through abstracting commonness from the existing heuristic algorithms, control strategies bring us higher level understandings of building reducts in rough set theory. To further improve the performances and strengthen the applicabilities of the addition control strategy, an ensemble selector is introduced into such framework.
Xibei Yang, Yiyu Yao
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Information system attribute reduction

Third International Workshop on Advanced Computational Intelligence, 2010
This paper describes the information systems as a family of equivalence relations or functions. It brings forward the notion of separation polynomial, which is an expression found by the separators (complement of the equivalence relations) via finite union operations and intersection operations.
Shaobai Chen, Mengfei Cao, Xiaodan Chen
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Minimal Attribute Space Bias for Attribute Reduction

2007
Attribute reduction is an important inductive learning issue addressed by the Rough Sets society.Most existing works on this issue use the minimal attribute bias, i.e., searching for reducts with the minimal number of attributes. But this bias does not work well for datasets where different attributes have different sizes of domains.
Fan Min 0001   +3 more
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Universal Attribute Reduction Problem

2007
In the paper, some generalizations of the notions of reduct and test (superreduct) are considered. The accuracy of greedy algorithm for construction of partial test is investigated. A lower bound on the minimal cardinality of partial reducts based on an information on greedy algorithm work is studied.
Mikhail Ju. Moshkov   +2 more
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Consistency Based Attribute Reduction

2007
Rough sets are widely used in feature subset selection and attribute reduction. In most of the existing algorithms, the dependency function is employed to evaluate the quality of a feature subset. The disadvantages of using dependency are discussed in this paper. And the problem of forward greedy search algorithm based on dependency is presented.
Qinghua Hu   +3 more
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A General Definition of an Attribute Reduct

2007
A reduct is a subset of attributes that are jointly sufficient and individually necessary for preserving a particular property of a given information table. A general definition of an attribute reduct is presented. Specifically, we discuss the following issues: First, there are a variety of properties that can be observed in an information table ...
Yan Zhao 0001   +3 more
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An accelerator for attribute reduction based on perspective of objects and attributes

Knowledge-Based Systems, 2013
Feature selection is an active area of research in pattern recognition, machine learning and artificial intelligence, which greatly improves the performance of forecasting or classification. In rough set theory, attribute reduction, as a special form of feature selection, aims to retain the discernability of the original attribute set.
Jiye Liang   +3 more
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On Covering Attribute Sets by Reducts

2007
For any fixed natural k, there exists a polynomial in time algorithm which for a given decision table Tand given kconditional attributes recognizes if there exist a decision reduct of Tcontaining these kattributes.
Mikhail Ju. Moshkov   +2 more
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Attribute Reduction: An Ensemble Strategy

2017
In rough set theory, the heuristic strategy for computing reducts does not take the stability of the selected attributes into account. An unstable reduct may imply the lower adaption to data variations. To fill such a gap, an ensemble strategy is embedded in heuristic algorithm for achieving stable reducts of variable precision fuzzy rough sets.
Suping Xu   +4 more
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Improved general attribute reduction algorithms

Information Sciences, 2020
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Baizhen Li   +7 more
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