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A Parallel Implementation of the K Nearest Neighbours Classifier in Three Levels: Threads MPI Processes and the Grid

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A Parallel Implementation of the K Nearest Neighbours Classifier in Three Levels: Threads MPI Processes and the Grid

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Aparicio Pla, G.; Blanquer Espert, I.; Hernández García, V. (2007). A Parallel Implementation of the K Nearest Neighbours Classifier in Three Levels: Threads MPI Processes and the Grid. En High Performance Computing for Computational Science - VECPAR 2006. Springer Verlag (Germany). 225-235. doi:10.1007/978-3-540-71351-7_18

Por favor, use este identificador para citar o enlazar este ítem: http://hdl.handle.net/10251/75093

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Title: A Parallel Implementation of the K Nearest Neighbours Classifier in Three Levels: Threads MPI Processes and the Grid
Author:
UPV Unit: Universitat Politècnica de València. Escola Tècnica Superior d'Enginyeria Informàtica
Issued date:
Abstract:
The work described in this paper tackles the problem of data mining and classification of large amounts of data using the K nearest neighbours classifier (KNN) [1]. The large computing demand of this process is solved with ...[+]
Subjects: Grid , Parallel Computing , Threads and Data Mining
Copyrigths: Reserva de todos los derechos
ISBN: 978-3-540-71350-0
Source:
High Performance Computing for Computational Science - VECPAR 2006. (issn: 0302-9743 )
DOI: 10.1007/978-3-540-71351-7_18
Publisher:
Springer Verlag (Germany)
Publisher version: http://link.springer.com/chapter/10.1007%2F978-3-540-71351-7_18
Conference name: 7 th International Conference on High Performance Computing for Computational Science VECPAR 2006
Conference place: Rio de Janeiro, Brazil
Conference date: June 10-13, 2006
Series: Lecture Notes in Computer Science;4395
Type: Capítulo de libro Comunicación en congreso

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