Article - Student Track

WEKA-G: Parallel data mining on computational grids


Authors: PIMENTA, A., VALENTIM, P., SANTOS, D., NETO, M.

Abstract: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.

Key Words:data mining, parallelism, grid computing

Full text (in portuguese)

Complete Reference: PIMENTA, A., VALENTIM, P., SANTOS, D., NETO, M., "WEKA-G: mineração de dados paralela em grades computacionais", Revista deSistemas de Informação da FSMA n. 4 (2009) pp. 2-9


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