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Incremental feature selection based on rough set in dynamic incomplete data

Author
WENHAO SHU1 ; HONG SHEN2 3
[1] School of Computer and Information Technology, Beijing Jiaotong University, China
[2] School of Information Science and Technology, Sun Yat-Sen University, China
[3] School of Computer Science, University of Adelaide, Australia
Source

Pattern recognition. 2014, Vol 47, Num 12, pp 3890-3906, 17 p ; ref : 61 ref

CODEN
PTNRA8
ISSN
0031-3203
Scientific domain
Computer science; Telecommunications
Publisher
Elsevier, Kidlington
Publication country
United Kingdom
Document type
Article
Language
English
Author keyword
Dynamic incomplete data Feature selection Positive region Rough set theory
Keyword (fr)
Algorithme Evaluation performance Extraction caractéristique Fouille donnée Méthode différentielle Reconnaissance forme Théorie ensemble approximatif Traitement signal Traitement donnée
Keyword (en)
Algorithm Performance evaluation Feature extraction Data mining Differential method Pattern recognition Rough set theory Signal processing Data processing
Keyword (es)
Algoritmo Evaluación prestación Busca dato Método diferencial Reconocimiento patrón Procesamiento señal Tratamiento datos
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A03 Information theory

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A04 Signal and communications theory / 001D04A04A Signal, noise / 001D04A04A2 Detection, estimation, filtering, equalization, prediction

Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D04 Telecommunications and information theory / 001D04A Information, signal and communications theory / 001D04A05 Signal processing / 001D04A05A Pattern recognition

Discipline
Telecommunications and information theory
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
28785210

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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