Hierarchical hidden markov models : An application to health insurance data
- Author
- AH CHUNG TSOI1 ; SHU ZHANG2 ; HAGENBUCHNER, Markus2
[1] Monash University, e-Research Centre, Vic. 3800, Australia
[2] Faculty of Informatics, University of Wollongong, NSW 2522, 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 244-259, 16 p ; ref : 12 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 comportementale Application médicale Apprentissage non supervisé Etiquetage Fouille donnée Information a priori Modèle Markov caché Santé publique Structure arborescente Système hiérarchisé Traitement transaction Valeur ajoutée
- Keyword (en)
- Behavioral analysis Medical application Unsupervised learning Labelling Data mining Prior information Hidden Markov model Public health Tree structure Hierarchical system Transaction processing Added value
- Keyword (es)
- Análisis conductual Aplicación medical Etiquetaje Busca dato Información a priori Modelo Markov oculto Salud pública Estructura arborescente Sistema jerarquizado Tratamiento transacción Valor añadido
- 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
- 19910786
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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DOI
10.1007/11677437_19 
https://dx.doi.org/10.1007/11677437_19
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