Galletta, A. and Allam, S. and Carnevale, L. and Ali Bekri, M. and El Ouahbi, R. and Villari, M. (2018) An innovative methodology for Big Data visualization in oceanographic domain. In: UNSPECIFIED.

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Official URL: https://www.scopus.com/inward/record.uri?eid=2-s2....

Abstract

Nowadays, thanks to new technologies, we are observing an explosion of data in different fields such as clinical, environmental and so on. In this context, a typical example of the well-known Big Data problem is represented by visualization. In this work, we propose an innovative platform for managing the oceanographic acquisitions. More specifically, we present two innovative visualization techniques: general overview and site specific observation. Experiments prove the goodness of the proposed system in terms both of performance and user experience. © 2018 Association for Computing Machinery.

Item Type: Conference or Workshop Item (UNSPECIFIED)
Uncontrolled Keywords: Acidification; Data handling; Data visualization; Environmental technology; Information analysis; Oceanography; Visualization, Geolocations; Innovative methodologies; Microservices; New technologies; Site-specific; User experience; Visualization technique, Big data
Subjects: Computer Science
Divisions: SCIENTIFIC PRODUCTION > Computer Science
Depositing User: Administrateur Eprints Administrateur Eprints
Last Modified: 31 Jan 2020 15:46
URI: http://eprints.umi.ac.ma/id/eprint/2378

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