WEKA-G: Parallel data mining on computational grids
Data mining is a technology that can extract useful information from large amounts of data. However, mining a database often requires a high computational power. To resolve this problem, this paper presents a tool (Weka-G), which runs in parallel algorithms used in the mining process data. As the en...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
Faculdade Salesiana Maria Auxiliadora
2009-12-01
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| Series: | Sistemas de Informação |
| Subjects: | |
| Online Access: | http://www.fsma.edu.br/si/edicao4/FSMA_SI_2009_2_Estudantil_1.pdf |
| _version_ | 1818145697835253760 |
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| author | PIMENTA, A. VALENTIM, P. SANTOS, D. NETO, M. |
| author_facet | PIMENTA, A. VALENTIM, P. SANTOS, D. NETO, M. |
| author_sort | PIMENTA, A. |
| collection | DOAJ |
| description | Data mining is a technology that can extract useful information from large amounts of data. However, mining a database often requires a high computational power. To resolve this problem, this paper presents a tool (Weka-G), which runs in parallel algorithms used in the mining process data. As the environment for doing so, we use a computational grid by adding several features within a WAN. |
| first_indexed | 2024-12-11T12:07:35Z |
| format | Article |
| id | doaj.art-0b3b3bf711c849259934d2208eb9e924 |
| institution | Directory Open Access Journal |
| issn | 1983-5604 |
| language | English |
| last_indexed | 2024-12-11T12:07:35Z |
| publishDate | 2009-12-01 |
| publisher | Faculdade Salesiana Maria Auxiliadora |
| record_format | Article |
| series | Sistemas de Informação |
| spelling | doaj.art-0b3b3bf711c849259934d2208eb9e9242022-12-22T01:07:54ZengFaculdade Salesiana Maria AuxiliadoraSistemas de Informação1983-56042009-12-01429WEKA-G: Parallel data mining on computational gridsPIMENTA, A.VALENTIM, P.SANTOS, D.NETO, M.Data mining is a technology that can extract useful information from large amounts of data. However, mining a database often requires a high computational power. To resolve this problem, this paper presents a tool (Weka-G), which runs in parallel algorithms used in the mining process data. As the environment for doing so, we use a computational grid by adding several features within a WAN.http://www.fsma.edu.br/si/edicao4/FSMA_SI_2009_2_Estudantil_1.pdfdata miningparallelismgrid computing |
| spellingShingle | PIMENTA, A. VALENTIM, P. SANTOS, D. NETO, M. WEKA-G: Parallel data mining on computational grids Sistemas de Informação data mining parallelism grid computing |
| title | WEKA-G: Parallel data mining on computational grids |
| title_full | WEKA-G: Parallel data mining on computational grids |
| title_fullStr | WEKA-G: Parallel data mining on computational grids |
| title_full_unstemmed | WEKA-G: Parallel data mining on computational grids |
| title_short | WEKA-G: Parallel data mining on computational grids |
| title_sort | weka g parallel data mining on computational grids |
| topic | data mining parallelism grid computing |
| url | http://www.fsma.edu.br/si/edicao4/FSMA_SI_2009_2_Estudantil_1.pdf |
| work_keys_str_mv | AT pimentaa wekagparalleldataminingoncomputationalgrids AT valentimp wekagparalleldataminingoncomputationalgrids AT santosd wekagparalleldataminingoncomputationalgrids AT netom wekagparalleldataminingoncomputationalgrids |