F
Feng Hu
Researcher at Chongqing University of Posts and Telecommunications
Publications - 24
Citations - 286
Feng Hu is an academic researcher from Chongqing University of Posts and Telecommunications. The author has contributed to research in topics: Rough set & Dominance-based rough set approach. The author has an hindex of 7, co-authored 23 publications receiving 242 citations. Previous affiliations of Feng Hu include Chongqing University.
Papers
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Book ChapterDOI
Incremental attribute reduction based on elementary sets
TL;DR: An incremental attribute reduction algorithm is proposed that when new objects are added into a decision information system, a new attribute reduction can be got by this method quickly.
Journal ArticleDOI
A Novel Boundary Oversampling Algorithm Based on Neighborhood Rough Set Model: NRSBoundary-SMOTE
TL;DR: After conducting an experiment on four kinds of classifiers, NRSBoundary-SMOTE has higher accuracy than other methods when C4.5, CART, and KNN are used but it is worse than SMOTE on classifier SVM.
Book ChapterDOI
RSCTC'2010 discovery challenge: mining DNA microarray data for medical diagnosis and treatment
Marcin Wojnarski,Andrzej Janusz,Hung Son Nguyen,Jan G. Bazan,Chuanjiang Luo,Ze Chen,Feng Hu,Guoyin Wang,Lihe Guan,Huan Luo,Juan Gao,Yuanxia Shen,Vladimir Nikulin,Tian-Hsiang Huang,Geoffrey J. McLachlan,Matko Bošnjak,Dragan Gamberger +16 more
TL;DR: This paper describes organization of the competition and the winning solutions of the RSCTC'2010 Discovery Challenge, related to feature selection in analysis of DNA microarray data and classification of samples for the purpose of medical diagnosis or treatment.
Journal ArticleDOI
Research and application for grey relational analysis in multigranularity based on normality grey number.
TL;DR: The grey relational analytical method in multigranularity is put forward to realize the automatic clustering in the specified granularity without any experience knowledge and fully prove that it is an effective knowledge acquisition method for big data or multigramularity sample.
Journal ArticleDOI
Tag recommendation method in folksonomy based on user tagging status
TL;DR: The concept of user tagging status is introduced, namely the growing status, the mature status and the dormant status and three corresponding strategies are developed to compute the tag probability distribution based on the statistical language model in order to recommend tags most likely to be used by users.