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

CUZZOCREA, Alfredo Massimiliano
2016
  • conference object

Abstract
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 problem in big data research, as confirmed by the great deal of attention devoted to this topic by larger and larger database and data mining research communities. This contribution aims at representing a milestone in the exciting big data provenance research road.
Archivio
http://hdl.handle.net/11368/2898332
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84964528213
http://ceur-ws.org/Vol-1558/
Diritti
open access
license:creative commons
license uri:http://creativecommons.org/licenses/by-nc-nd/3.0/it/
FVG url
https://arts.units.it/bitstream/11368/2898332/2/Paper 37.pdf
Soggetti
  • Big data derivation

  • Big data lineage

  • Big data provenance

  • Privacy of big data

  • Computer Science (all...

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