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Big Data Mining or Turning Data Mining into Predictive Analytics from Large-Scale 3Vs Data: The Future Challenge for Knowledge Discovery

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Model and Data Engineering (MEDI 2014)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 8748))

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Abstract

Mining Big Data is among one of the most attracting research contexts of recent years. Essentially, mining Big Data puts emphasis on how classical Data Mining algorithms can be extended in order to deal with novel features of Big Data, such as volume, variety and velocity. This novel challenge opens the door to a widespread number of challenging research problems that will generate both academic and industrial spin-offs in future years. Following this main trend, in this paper we provide a brief discussion on most relevant open problems and future directions on the fundamental issue of mining Big Data.

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Author information

Authors and Affiliations

  1. ICAR-CNR and University of Calabria, I-87036, Cosenza, Italy

    Alfredo Cuzzocrea

Authors
  1. Alfredo Cuzzocrea
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Editor information

Editors and Affiliations

  1. IRIT-ENSEEIHT, 2 rue Charles, Camichel, BP 7122, 31071, Toulouse Cedex 7, France

    Yamine Ait Ameur

  2. LIAS/ISAE-ENSMA, Téléport 2, 1 avenue Clément Ader, BP 40109, 86961, Futuroscope Chasseneuil Cedex, France

    Ladjel Bellatreche

  3. Department of Computer Science, University of Cyprus, 1 University Avenue, Aglantzia, 2109, Nicosia, Cyprus

    George A. Papadopoulos

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Cuzzocrea, A. (2014). Big Data Mining or Turning Data Mining into Predictive Analytics from Large-Scale 3Vs Data: The Future Challenge for Knowledge Discovery. In: Ait Ameur, Y., Bellatreche, L., Papadopoulos, G.A. (eds) Model and Data Engineering. MEDI 2014. Lecture Notes in Computer Science, vol 8748. Springer, Cham. https://doi.org/10.1007/978-3-319-11587-0_2

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  • DOI: https://doi.org/10.1007/978-3-319-11587-0_2

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-11586-3

  • Online ISBN: 978-3-319-11587-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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