GRID II - Global GRID for Data Mining with Soft Computing on Large Data Bases
Description
The main idea of the proposed project is to prepare selected data mining algorithms, preferably those originating in soft-computing, to be able to run in distributed environments like clusters and global grids.
Researchers
Funded by
Ministério da Educacao e do Ensino Superior and Slovenian Ministry of Education
Keywords
Clustering Computing, Relevance Vector Machines, Support vector Machines, Neural Networks, Text Categorization, Rubber Classification
Start Date
2006-02-01
End Date
2008-02-01
Journal Articles
2010
(1 publication) - Silva, C. and Lotrič, U. and Ribeiro, B. and Dobnikar, A. , "Distributed Text Classification with an Ensemble Kernel-based Learning Approach", IEEE Transactions on Systems Man and Cybernetics, Part C - Applications and Reviews, vol. 40, pp. 287-297, 2010
Conference Articles
2008
(1 publication) 2005
(2 publications) - Silva, C. and Ribeiro, B. and Lotrič, U. , "Speeding-up Text Classification In a GRID Computing Environment", in ICMLA 2005, 2005
- Lotrič, U. and Ribeiro, B. and Silva, C. and Dobnikar, A. , "Modeling Execution Times of Data Mining Problems in Grid Environments", in ERK 2005, 2005
