A Quick View on Current Techniques and Machine Learning Algorithms for Big Data Analytics
Tipo de documentoTexto en actas de congreso
Fecha de publicación2016
EditorInstitute of Electrical and Electronics Engineers (IEEE)
Condiciones de accesoAcceso abierto
Proyecto de la Comisión EuropeaHi-EST - Holistic Integration of Emerging Supercomputing Technologies (EC-H2020-639595)
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.
CitaciónBerral, 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.