Výsledky vyhledávání - "Cuzzocrea, Alfredo Massimiliano"

SQL-On-Hadoop Systems: State-Of-The-Art Exploration, Models, Performances, Issues and Recommendations

Autor: Cuzzocrea, Alfredo Massimiliano, Moussa, Rim, Sahri, Soror

Analytics of tremendous big data generated from natural systems (e.g. tectonic plates' movement, atmospheric data, ...), engineered systems (e.g. servers, electronic devices, ...), and human activities (e.g. trajectories, web click-streams, health re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::c7cb849425c78e57fa145570cbfff9c8
https://hdl.handle.net/11368/2898010

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Complex Mining from Uncertain Big Data in Distributed Environments: Problems, Definitions and Two Effective and Efficient Algorithms

Autor: CUZZOCREA, Alfredo Massimiliano, Leung, Carson Kai Sang, Jiang, Fan, Mackinnon, Richard Kyle

BIG DATA are everywhere. They are high-veracity, high-velocity, highvalue, and/or high-variety data with volumes beyond the ability of commonly-used software to manage, query, and process within a tolerable elapsed time. Big data analytics incorporat

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::f54ee31a0155b6d4d6aaa3ab77d41653
http://hdl.handle.net/11368/2898006

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Automatic Big Data Provenance Capture at Middleware Level in Advanced Big Data Frameworks

Autor: Chacko, Anu Mary, Kumar, S. D. Madhu, Cuzzocrea, Alfredo Massimiliano

Huge amounts of data are being generated by IoT devices, and are termed as ‘Big Data’. Big Data needs to be reliably stored and analyzed. Capturing provenance of such data provides a mechanism to explain the result of data analyt-ics, and provide

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::39af7113c47a778860af78edf47d2ad0
https://link.springer.com/content/pdf/bfm:978-3-319-70102-8/1.pdf

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Multidimensional Database Modeling: Literature Survey and Research Agenda for the Big Data Era

Autor: Cuzzocrea, Alfredo Massimiliano, Moussa, Rim

The purpose of this paper is twofold: First, to survey the literature on Multidimensional Database Modeling fundamentals, and Second, to sketch a research agenda which challenges Big Data four V’s, namely Volume, Velocity, Veracity, and Variety.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::acc61de04ec9eb81eb7c2562309d6ce5
https://hdl.handle.net/11368/2898139

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Temporal Queries for Sustainable Innovation Policy Making

Autor: Cuzzocrea, Alfredo Massimiliano, D’Elia, Ilaria, De Nicola, Antonio, Maldini, Hugo, Villani, Maria Luisa

We propose an innovative method for temporal analysis of integrated environmental scenarios aimed at supporting policy making for sustainable innovation. This requires the study of possible effects of low-carbon policies on the society and, hence, co

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::888e400edd58b2b90277ce891e23a185
https://hdl.handle.net/11368/2898262

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Guest Editorial: Advances in Multimedia Signal Processing and Communication Technologies for Future Networking Systems

Autor: Hu, Jinfeng, CUZZOCREA, Alfredo Massimiliano, Yang, Laurence T.

The rapid increase in computing power and the speed of communication, coupled with the availability of computer storage facilities, has led to a new era of multimedia applications. Multimedia is everywhere, we can feel it in almost all applications f

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::0941c6963d6ee82e3bb0057ae076d1d4
http://hdl.handle.net/11368/2897878

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Big data provenance: State-of-the-art analysis and emerging research challenges

Autor: CUZZOCREA, Alfredo Massimiliano

This paper focuses the attention on big data provenance issues , and provides a comprehensive survey on state-of-the-art analysis and emerging research challenges in this scientific field. Big data provenance is actually one of the most relevant prob

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::75ccba0cfaf9a8615b0bd580a2105e62
http://hdl.handle.net/11368/2898332

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Computing skylines over encrypted data in cloud environments

Autor: Bothe, Suvarna, Cuzzocrea, Alfredo Massimiliano, Karras, Panagiotis, Vlachou, Akrivi

Making co-existent and convergent the need for efficiency of relational query processing over Clouds and the security of data themselves is figuring-out how one of the most challenging research problems in the Big Data era. Indeed, in actual analytic

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=dedup_wf_001::76abd168074ffb0addcf729c7963f916
https://hdl.handle.net/11368/2898340

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