article · SHILAP Revista de lepidopterología · 2009

WEKA-G: Parallel data mining on computational grids

Amanda Aparecida Pimenta, P. VALENTIM, Danilo França Conceição dos Santos, Miguel de Castro Neto

Cited by 0Open access

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.

Cite this paper

APA 7

Pimenta, A. A., VALENTIM, P., dos Santos, D. F. C., & Neto, M. D. C. (2009). WEKA-G: Parallel data mining on computational grids. SHILAP Revista de lepidopterología.

MLA 9

Pimenta, Amanda Aparecida, et al. “WEKA-G: Parallel data mining on computational grids.” SHILAP Revista de lepidopterología, 2009.

Chicago

Pimenta, Amanda Aparecida, P. VALENTIM, Danilo França Conceição dos Santos, and Miguel de Castro Neto. 2009. “WEKA-G: Parallel data mining on computational grids.” SHILAP Revista de lepidopterología.

Harvard

Pimenta, A.A. et al. (2009) ‘WEKA-G: Parallel data mining on computational grids’, SHILAP Revista de lepidopterología.

BibTeX

@article{pimenta2009weka,
  title = {{WEKA-G: Parallel data mining on computational grids}},
  author = {Pimenta, Amanda Aparecida and VALENTIM, P. and dos Santos, Danilo França Conceição and Neto, Miguel de Castro},
  journal = {SHILAP Revista de lepidopterología},
  year = {2009}
}

Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.