Journal ArticleDOI
Review: Dimensionality reduction based on rough set theory: A review
K. Thangavel,A. Pethalakshmi +1 more
- Vol. 9, Iss: 1, pp 1-12
TLDR
The rough sets hybridization with fuzzy sets, neural network and metaheuristic algorithms have been reviewed and the performance analysis of the algorithms has been discussed in connection with the classification.Abstract:
A rough set theory is a new mathematical tool to deal with uncertainty and vagueness of decision system and it has been applied successfully in all the fields. It is used to identify the reduct set of the set of all attributes of the decision system. The reduct set is used as preprocessing technique for classification of the decision system in order to bring out the potential patterns or association rules or knowledge through data mining techniques. Several researchers have contributed variety of algorithms for computing the reduct sets by considering different cases like inconsistency, missing attribute values and multiple decision attributes of the decision system. This paper focuses on the review of the techniques for dimensionality reduction under rough set theory environment. Further, the rough sets hybridization with fuzzy sets, neural network and metaheuristic algorithms have also been reviewed. The performance analysis of the algorithms has been discussed in connection with the classification.read more
Citations
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Journal ArticleDOI
Data stream clustering: A survey
Jonathan de Andrade Silva,Elaine R. Faria,Rodrigo C. Barros,Eduardo R. Hruschka,André C. P. L. F. de Carvalho,João Gama +5 more
TL;DR: A survey of data stream clustering algorithms is presented, providing a thorough discussion of the main design components of state-of-the-art algorithms and an overview of the usually employed experimental methodologies.
Journal ArticleDOI
Attribute selection based on information gain ratio in fuzzy rough set theory with application to tumor classification
Jianhua Dai,Qing Xu +1 more
TL;DR: An attribute selection method based on fuzzy gain ratio under the framework of fuzzy rough set theory is proposed and is compared to several other approaches on three real world tumor data sets in gene expression to show that the proposed method is effective.
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Digital innovation: A review and synthesis
Rajiv Kohli,Nigel P. Melville +1 more
TL;DR: This work combines scientometric and systematic literature review methodologies to examine 7 dimensions of an adapted theoretical framework: initiation; development; implementation; exploitation; the role of the external competitive environment; role of internal organizational environment; and product, service, and process outcomes.
Journal ArticleDOI
Landslide susceptibility mapping based on rough set theory and support vector machines: A case of the Three Gorges area, China
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A hybrid approach of DEA, rough set and support vector machines for business failure prediction
TL;DR: The results shows that DEA do provide valuable information in business failure predictions and the proposed R ST-SVM model provides better classification results than RST-BPN model, no matter when only considering financial ratios or the model including both financial ratios and DEA.
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