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Author
YIHAO ZHANG1 ; ORGUN, Mehmet A1 ; WEIQIANG LIN2 ; GRACO, Warwick2
[1] Department of Computing, I.C.S., Macquarie University Sydney, NSW 2109, Australia
[2] Australian Taxation Office, Canberra ACT 2601, Australia
Book title
Data mining (theory, methodology, techniques, and applications)
Author (monograph)
Williams, Graham J (Editor); Simoff, Simeon J (Editor)
Source

Lecture notes in computer science. 2006 ; 1Vol, pp 203-217, 15 p ; ref : 14 ref

ISSN
0302-9743
ISBN
3-540-32547-6
Scientific domain
Computer science
Publisher
Springer, Berlin / Springer, New York
Publication country
Germany
Document type
Book Chapter
Language
English
Keyword (fr)
Analyse amas Analyse donnée Application médicale Classification Dossier médical Endocrinopathie Extraction information Fouille donnée Glucose Homme Ingénierie connaissances Maladie métabolique Modèle hybride
Keyword (en)
Cluster analysis Data analysis Medical application Classification Medical record Endocrinopathy Information extraction Data mining Glucose Human Knowledge engineering Metabolic diseases Hybrid model
Keyword (es)
Analisis cluster Análisis datos Aplicación medical Clasificación Historial clínico Endocrinopatía Extracción información Busca dato Glucosa Hombre Metabolismo patología Modelo híbrido
Classification
Pascal
001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07B Data processing. List processing. Character string processing

Discipline
Computer science : theoretical automation and systems
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
19910783

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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