An efficient density based clustering algorithm for large databases
- Author
- EL-SONBATY, Yasser1 ; ISMAIL, M. A2 ; FAROUK, Mohamed1
[1] Dept. of Computer Science, Arab Academy for Sc. & Tech, Alexandria 1029, Egypt
[2] Dept. of Computer Science, Faculty of Engineering, Alexandria 21544, Egypt - Conference title
- 16th IEEE international conference on tools with artificial intelligence ICTAI 2004 (Boca Raton Fl, 15-17 November 2004)
- Conference name
- ICTAI : international conference on tools with artificial intelligence (16 ; Boca Raton FL 2004)
- Source
Proceedings - International Conference on Tools with Artificial Intelligence, TAI. 2004 ; 1Vol, pp 673-677, 5 p ; ref : 9 ref
- ISSN
- 1082-3409
- ISBN
- 0-7695-2236-X
- Scientific domain
- Computer science
- Publisher
- IEEE, Los Alamitos CA
- Publication country
- United States
- Document type
- Conference Paper
- Language
- English
- Keyword (fr)
- Analyse amas Base donnée très grande Classification Fouille donnée Intelligence artificielle Distribution donnée
- Keyword (en)
- Cluster analysis Very large databases Classification Data mining Artificial intelligence Data distribution
- Keyword (es)
- Analisis cluster Clasificación Busca dato Inteligencia artificial Distribución dato
- Classification
- 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
- 19103901
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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