Work

A quick view on current techniques and machine learning algorithms for big data analytics

Year: 2016

Type: conference-paper

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 learning 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 learn 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 some ICT examples, and enumerates some (but not all) of the most used tools for analyzing and modelling big-data.

Source: International Conference on Transparent Optical Networks

DOI: 10.1109/icton.2016.7550517

Author: Josep Lluis Berral-Garcia

Institution: Barcelona Supercomputing Center

Language: English

Topic: Big Data Technologies and Applications

Subfield: Information Systems and Management

Field: Decision Sciences

Domain: Social Sciences

SDG: Industry, innovation and infrastructure

Open Access status: green

Funder: European Commission