About: Quick Maximum Distribution Reduction in Inconsistent Decision Tables

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Quick Maximum Distribution Reduction in Inconsistent Decision Tables
Creator	Zhang, Nan Chen, Wei Li, Baizhen Sun, Lijun Wei, Zhihua Zhang, Hongyun
Source	PMC
abstract	Attribute reduction is a key issue in rough set theory, and this paper focuses on the maximum distribution reduction for complete inconsistent decision tables. It is quite inconvenient to judge the maximum distribution reduct directly according to its definition and the existing heuristic based judgment methods are inefficient due to the lack of acceleration mechanisms that mainstream heuristic judgment methods have. In this paper, we firstly point out the defect of judgment method proposed by Li et al. [15]. After analyzing the root cause of the defect, we proposed two novel heuristic attribute reduction algorithms for maximum distribution reduction. The experiments show that proposed algorithms are more efficient.
has issue date	2020-06-10(xsd:dateTime)
bibo:doi	10.1007/978-3-030-52705-1_12
has license	no-cc
sha1sum (hex)	bab70c683f8293a1ec5e67d40cc564d493a0611d
schema:url	https://doi.org/10.1007/978-3-030-52705-1_12
resource representing a document's title	Quick Maximum Distribution Reduction in Inconsistent Decision Tables
has PubMed Central identifier	PMC7338162
schema:publication	Rough Sets
resource representing a document's body	covid:bab70c683f8293a1ec5e67d40cc564d493a0611d#body_text
is schema:about of	named entity 'judgment' named entity 'set theory' named entity 'efficient' named entity 'judgment' named entity 'attribute' named entity 'mainstream' named entity 'maximum' named entity 'PAPER' named entity 'DEFECT' named entity 'ACCELERATION' named entity 'METHOD' named entity 'JUDGE' named entity 'reduct' named entity 'Maximum' named entity 'heuristic' named entity 'focuses' named entity 'data set' named entity 'heuristic' named entity 'data sets' named entity 'information table' named entity 'heuristic functions' named entity 'heuristic' named entity 'heuristic methods' named entity 'decision support systems' named entity 'algorithm' named entity 'decision tables' named entity 'heuristic' named entity 'computing' named entity 'indiscernibility' named entity 'Algorithm' named entity 'data sets' named entity 'non-empty' named entity 'Wdbc' named entity 'heuristics' named entity 'heuristic functions' named entity 'heuristic functions' named entity 'programming language' named entity 'heuristic algorithms' named entity 'RAM memory' named entity 'python 3' named entity 'probability' named entity 'algorithm' named entity 'heuristic' named entity 'data sets' named entity 'Algorithm' named entity 'heuristic functions' named entity 'computational time' named entity 'algorithm' named entity 'tuple' named entity 'indiscernibility' named entity 'conditional entropy' named entity 'control strategy' named entity 'heuristics' named entity 'universe of discourse' named entity 'heuristic functions' named entity 'Heuristic approaches' named entity 'heuristic' named entity 'fitness function' named entity 'heuristic' named entity 'computational efficiency' named entity 'Windows 10' named entity 'Sonar' named entity 'data sets' named entity 'entropy' named entity 'heuristic functions' named entity 'discretization' named entity 'Wpdc' named entity 'conditional entropy' named entity 'indiscernibility' named entity 'Algorithm' named entity 'heuristic algorithms' named entity 'pattern recognition' named entity 'assignment operation' named entity 'machine learning' named entity 'heuristics' named entity 'decision tables' named entity 'data sets' named entity 'decision table'

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