Information management and big data: SIMBig overview

Juan Antonio Lossio-Ventura; Hugo Alatrista-Salas

Information management and big data: SIMBig overview

Juan Antonio Lossio-Ventura
, Hugo Alatrista-Salas

Department of Engineering

Research output: Contribution to conference › Paper

2 Scopus citations

Abstract

Big Data and Data Science are popular terms used to describe the exponential growth of data and the analysis of this data respectively. The aim of the symposium is to present the analysis of methods for extracting knowledge from large volumes of data through techniques of data science and artificial intelligence. Bringing together main national and international actors in the decision-making field to state in new technologies dedicated to handle large amount of information.

Original language	English
Pages	11-14
Number of pages	4
State	Published - 1 Jan 2016
Event	CEUR Workshop Proceedings - Duration: 1 Jan 2017 → …

Conference

Conference	CEUR Workshop Proceedings
Period	1/01/17 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 4 Quality Education
SDG 9 Industry, Innovation, and Infrastructure
SDG 17 Partnerships for the Goals

Cite this

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title = "Information management and big data: SIMBig overview",

abstract = "Big Data and Data Science are popular terms used to describe the exponential growth of data and the analysis of this data respectively. The aim of the symposium is to present the analysis of methods for extracting knowledge from large volumes of data through techniques of data science and artificial intelligence. Bringing together main national and international actors in the decision-making field to state in new technologies dedicated to handle large amount of information.",

author = "Lossio-Ventura, \{Juan Antonio\} and Hugo Alatrista-Salas",

year = "2016",

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day = "1",

language = "English",

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note = "CEUR Workshop Proceedings ; Conference date: 01-01-2017",

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TY - CONF

T1 - Information management and big data: SIMBig overview

AU - Lossio-Ventura, Juan Antonio

AU - Alatrista-Salas, Hugo

PY - 2016/1/1

Y1 - 2016/1/1

N2 - Big Data and Data Science are popular terms used to describe the exponential growth of data and the analysis of this data respectively. The aim of the symposium is to present the analysis of methods for extracting knowledge from large volumes of data through techniques of data science and artificial intelligence. Bringing together main national and international actors in the decision-making field to state in new technologies dedicated to handle large amount of information.

AB - Big Data and Data Science are popular terms used to describe the exponential growth of data and the analysis of this data respectively. The aim of the symposium is to present the analysis of methods for extracting knowledge from large volumes of data through techniques of data science and artificial intelligence. Bringing together main national and international actors in the decision-making field to state in new technologies dedicated to handle large amount of information.

UR - https://www.scopus.com/pages/publications/85006088594

UR - https://www.scopus.com/pages/publications/85006088594#tab=citedBy

M3 - Paper

SP - 11

EP - 14

T2 - CEUR Workshop Proceedings

Y2 - 1 January 2017

ER -

Information management and big data: SIMBig overview

Abstract

Conference

UN SDGs

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