New voting strategies designed for the classification of nucleic sequences
- Author
- ELLOUMI, Mourad1 ; MADDOURI, Mondher2
[1] Computer Science Department, Faculty of Economic Sciences and Management of Tunis, Tunisia
[2] Computer Science Department, National Institute of Applied Sciences and Technology, Tunis, Tunisia - Source
Knowledge and information systems. 2005, Vol 8, Num 1, pp 1-15, 15 p ; ref : 1 p.1/4
- ISSNNV
- 0219-1377
- Scientific domain
- Computer science
- Publisher
- Springer, Godalming
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Author keyword
- Biological macromolecules Classification Data mining Discriminant substrings Primary structures Vote strategies
- Keyword (fr)
- Analyse donnée Chaîne caractère Classification DNA Extraction information Fouille donnée Macromolécule biologique RNA Stratégie vote
- Keyword (en)
- Data analysis Character string Classification DNA Information extraction Data mining Biological macromolecule RNA
- Keyword (es)
- Análisis datos Cadena carácter Clasificación DNA Extracción información Busca dato Macromolécula biológica RNA
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02B Software / 001D02B07 Memory organisation. Data processing / 001D02B07D Information systems. Data bases
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 16814034
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/s10115-004-0151-z 
https://dx.doi.org/10.1007/s10115-004-0151-z
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