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How to deal with heterogeneous data?

Mathieu Roche 1, 2 
1 ADVANSE - ADVanced Analytics for data SciencE
LIRMM - Laboratoire d'Informatique de Robotique et de Microélectronique de Montpellier
2 UMR TETIS - Territoires, Environnement, Télédétection et Information Spatiale
Abstract : The Big Data issue is traditionally characterized in terms of 3 V, i.e. volume, variety, and velocity. This paper focuses on the variety criterion, which I s a challenging issue.
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https://hal-lirmm.ccsd.cnrs.fr/lirmm-01382015
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Submitted on : Saturday, October 15, 2016 - 4:50:59 AM
Last modification on : Friday, August 5, 2022 - 3:02:49 PM

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  • HAL Id : lirmm-01382015, version 1

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CIRAD | AGROPARISTECH | CNRS | IRSTEA | ADVANSE | LIRMM | TETIS | MIPS | UNIV-MONTPELLIER | INRAE | INRAEOCCITANIEMONTPELLIER

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Mathieu Roche. How to deal with heterogeneous data?. SIMBig: Symposium on Information Management and Big Data, Sep 2015, Cusco, Peru. pp.19-20. ⟨lirmm-01382015⟩

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