Aggregation and multidimensional analysis are well-known powerful tools for extracting useful knowledge, shaped in a summarized manner, which are being successfully applied to the annoying problem of managing and mining big data produced by large-scale scientific applications. Indeed, in the context of big data analytics, aggregation approaches allow us to provide meaningful descriptions of these data, otherwise impossible for alternative data-intensive analysis tools. On the other hand, multidimensional analysis methodologies introduce fortunate metaphors that significantly empathize the knowledge discovery phase from such huge amounts of data. Following this main trend, several big data aggregation and multidimensional analysis approaches have been proposed recently. The goal of this paper is to (i) provide a comprehensive overview of state-of-the-art techniques and (ii) depict open research challenges and future directions adhering to the reference scientific field.

Aggregation and multidimensional analysis of big data for large-scale scientific applications: Models, issues, analytics, and beyond

Cuzzocrea Alfredo
2015-01-01

Abstract

Aggregation and multidimensional analysis are well-known powerful tools for extracting useful knowledge, shaped in a summarized manner, which are being successfully applied to the annoying problem of managing and mining big data produced by large-scale scientific applications. Indeed, in the context of big data analytics, aggregation approaches allow us to provide meaningful descriptions of these data, otherwise impossible for alternative data-intensive analysis tools. On the other hand, multidimensional analysis methodologies introduce fortunate metaphors that significantly empathize the knowledge discovery phase from such huge amounts of data. Following this main trend, several big data aggregation and multidimensional analysis approaches have been proposed recently. The goal of this paper is to (i) provide a comprehensive overview of state-of-the-art techniques and (ii) depict open research challenges and future directions adhering to the reference scientific field.
2015
9781450337090
Big Data Aggregation
Big Data Analytics
Large-Scale Scientific Applications
Multidimensional Analysis of Big Data
Human-Computer Interaction
Computer Networks and Communications
1707
Software
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.11770/312917
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