Machine learning models : Combining evidence of similarity for XML schema matching
- Author
- HONG-MINH, Tran1 ; SMITH, Dan1
[1] School of Computing Sciences, University Of East Anglia, Norwich, NR4 7TJ, United Kingdom - Conference title
- Knowledge discovery from XML documents (First international workshop, KDXD 2006, Singapore, April 9, 2006)
- Conference name
- KDXD 2006 (1 ; Singapore 2006)
- Author (monograph)
- Nayak, Richi (Editor); Zaki, Mohammed J (Editor)
- Source
Lecture notes in computer science. 2006 ; 1Vol, pp 43-53, 11 p ; ref : 12 ref
- ISSN
- 0302-9743
- ISBN
- 3-540-33180-8
- Scientific domain
- Computer science
- Publisher
- Springer, Berlin
- Publication country
- Germany
- Document type
- Conference Paper
- Language
- English
- Keyword (fr)
- Découverte connaissance Fiabilité Intelligence artificielle Langage XML Modélisation Métrique Similitude Base donnée fédérée
- Keyword (en)
- Knowledge discovery Reliability Artificial intelligence XML language Modeling Metric Similarity Federated database
- Keyword (es)
- Descubrimiento conocimiento Fiabilidad Inteligencia artificial Lenguaje XML Modelización Métrico Similitud Base dato federada
- 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
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence
- Discipline
- Computer science : theoretical automation and systems
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 19105345
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
10.1007/11730262_7 
https://dx.doi.org/10.1007/11730262_7
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