Platform as Service for Data Analysis,,, Softcomputing
Ruíz, Y.M., Pérez Pupo, I., Piñero Pérez, P.Y., et al (2024). Platform as Service for Data Analysis Supported by Computational Intelligence Techniques. Studies in Computational Intelligence, vol 1134. https://doi.org/10.1007/978-3-031-50495-2_7
Platform as Service for Data Analysis Suppoted by Computational Intelligence Techniques
Ruíz, Y.M., Pérez Pupo, I., Piñero Pérez, P.Y., Acuña, L.A., Vacacela, R.G. (2024). Platform as Service for Data Analysis Suppoted by Computational Intelligence Techniques. In: Piñero Pérez, P.Y., Kacprzyk, J., Bello Pérez, R., Pupo, I.P. (eds) Computational Intelligence in Engineering and Project Management. CIIP 2023. Studies in Computational Intelligence, vol 1134. Springer, Cham. https://doi.org/10.1007/978-3-031-50495-2_7
Abstract
In this work, a cloud-based software architecture for data analysis called BRIntelligent. Its platform allows researchers to perform data analysis by taking advantage of the availability of cloud resources. The proposed architecture constitutes a platform as services that could be extended by groups of researchers based on the development of algorithms and tools for data analysis. With its implementation, it is expected that the end customers of the platform will be able to have access through a web browser to algorithms and data analysis and visualization tools without requiring advanced programming knowledge or installing any specific software. The proposal is structured to consider different architectural views for software development and is made up of three groups of fundamental components. The first component is a data analysis project management system whose functionalities combine computational intelligence techniques and best practices for project management. The second component constitutes a system for the management of algorithm runs, making use of different groups of technological resources. The third component is a set of software assets and services that facilitate data analysis. The proposal has been partially implemented through the customization of the BusinessRedmine software ecosystem using a free software development strategy based on open core.

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