A Quick View on Current Techniques and Machine Learning Algorithms for Big Data Analytics

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Title:	A Quick View on Current Techniques and Machine Learning Algorithms for Big Data Analytics
Author:	Berral García, Josep Lluís
Other authors:	Universitat Politècnica de Catalunya. CAP - Grup de Computació d'Altes Prestacions
Abstract:	Big-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.
Abstract:	Peer Reviewed
Subject(s):	-Àrees temàtiques de la UPC::Informàtica::Intel·ligència artificial::Aprenentatge automàtic -Machine learning -Big data -Big Data -Analytics -Machine Learning -Knowledge discovery -Frameworks -Aprenentatge automàtic -Macrodades
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Document type:	Article - Submitted version Conference Object
Published by:	Institute of Electrical and Electronics Engineers (IEEE)
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