Abstract
The development of scientific knowledge is fundamental for the discovery of new knowledge. However, it is necessary to follow certain criteria in the rigor of science to verify what has already been studied to support new knowledge. The systematic review has the attribution, methodically, to guide new directions in the progress of scientific research. Accordingly, this study aims to identify the state-of-the-art of Data Mining and Business Intelligence solutions in the context of Grid and Utility Computing. The systematic review was carried out using the PRISMA method, which was followed in the progress of the study. Thus, it is expected to obtain results for the continuous evolution of science within the scope of the subjects.
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Damasceno, E., Azevedo, A., Perez-Cota, M. (2022). The State-of-the-Art of Business Intelligence and Data Mining in the Context of Grid and Utility Computing: A PRISMA Systematic Review. In: Mejia, J., Muñoz, M., Rocha, Á., Avila-George, H., Martínez-Aguilar, G.M. (eds) New Perspectives in Software Engineering. CIMPS 2021. Advances in Intelligent Systems and Computing, vol 1416. Springer, Cham. https://doi.org/10.1007/978-3-030-89909-7_7
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