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dc.contributor.authorBerral García, Josep Lluís
dc.date.accessioned2017-04-26T07:30:00Z
dc.date.available2017-04-26T07:30:00Z
dc.date.issued2016
dc.identifier.citationBerral, J. A Quick View on Current Techniques and Machine Learning Algorithms for Big Data Analytics. A: International Conference on Transparent Optical Networks. "Proceedings of the 18th International Conference on Transparent Optical Networks (ICTON)". Trento: Institute of Electrical and Electronics Engineers (IEEE), 2016, p. 1-4.
dc.identifier.isbn978-1-5090-1467-5
dc.identifier.urihttp://hdl.handle.net/2117/103740
dc.description.abstractBig-data is an excellent source of knowledge and information from our systems and clients, but dealing with such amount of data requires automation, and this brings us to data mining and machine leaming techniques. In the ICT sector, as in many other sectors of research and industry, platforms and tools are being served and developed in order to help professionals to treat their data and leam from it automatically ; most of those platforms coming from big companies like Google or Microsoft , or from incubators at the Apache Foundation. This brief review explains the basics of machine learning with sorne ICT examples, and enurnerates sorne (but not all) of the most used tools for analyzing and modelling big-data.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic
dc.subject.lcshMachine learning
dc.subject.lcshBig data
dc.subject.otherBig Data
dc.subject.otherAnalytics
dc.subject.otherMachine Learning
dc.subject.otherKnowledge discovery
dc.subject.otherFrameworks
dc.titleA Quick View on Current Techniques and Machine Learning Algorithms for Big Data Analytics
dc.typeConference report
dc.subject.lemacAprenentatge automàtic
dc.subject.lemacMacrodades
dc.contributor.groupUniversitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
dc.identifier.doi10.1109/ICTON.2016.7550517
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttp://ieeexplore.ieee.org.recursos.biblioteca.upc.edu/stamp/stamp.jsp?arnumber=7550517
dc.rights.accessOpen Access
local.identifier.drac18934965
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/639595/EU/Holistic Integration of Emerging Supercomputing Technologies/Hi-EST
local.citation.authorBerral, J.
local.citation.contributorInternational Conference on Transparent Optical Networks
local.citation.pubplaceTrento
local.citation.publicationNameProceedings of the 18th International Conference on Transparent Optical Networks (ICTON)
local.citation.startingPage1
local.citation.endingPage4


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