Overview of SIMBig 2017: 4th Annual International Symposium on Information Management and Big Data

Juan Antonio Lossio-Ventura; Hugo Alatrista-Salas

Overview of SIMBig 2017: 4th Annual International Symposium on Information Management and Big Data

Juan Antonio Lossio-Ventura, Hugo Alatrista-Salas

Department of Engineering

Research output: Contribution to conference › Paper

Abstract

SIMBig presents the analysis of new methods for extracting knowledge from large volumes of data through techniques of data science and artificial intelligence. SIMBig gathers national and international researchers in the data science field to state in new technologies dedicated to handle large amount of information.

Original language	English
Pages	12-15
Number of pages	4
State	Published - 1 Jan 2017
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)

Cite this

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title = "Overview of SIMBig 2017: 4th Annual International Symposium on Information Management and Big Data",

abstract = "SIMBig presents the analysis of new methods for extracting knowledge from large volumes of data through techniques of data science and artificial intelligence. SIMBig gathers national and international researchers in the data science field to state in new technologies dedicated to handle large amount of information.",

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

year = "2017",

month = jan,

day = "1",

language = "English",

pages = "12--15",

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

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T1 - Overview of SIMBig 2017: 4th Annual International Symposium on Information Management and Big Data

AU - Lossio-Ventura, Juan Antonio

AU - Alatrista-Salas, Hugo

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Y1 - 2017/1/1

N2 - SIMBig presents the analysis of new methods for extracting knowledge from large volumes of data through techniques of data science and artificial intelligence. SIMBig gathers national and international researchers in the data science field to state in new technologies dedicated to handle large amount of information.

AB - SIMBig presents the analysis of new methods for extracting knowledge from large volumes of data through techniques of data science and artificial intelligence. SIMBig gathers national and international researchers in the data science field to state in new technologies dedicated to handle large amount of information.

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M3 - Paper

SP - 12

EP - 15

T2 - CEUR Workshop Proceedings

Y2 - 1 January 2017

ER -

Overview of SIMBig 2017: 4th Annual International Symposium on Information Management and Big Data

Abstract

Conference

UN SDGs

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