Towards Smart Data Technologies for Big Data Analytics

Currently the publicly available datasets for Big Data Ana-lytics are of different qualities, and obtaining the expected behavior from the Machine Learning algorithms is crucial. Furthermore, since working with a huge amount of data is usually a time-demanding task, tohave high quality data is requi...

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Detalles Bibliográficos
Autores principales:	Basgall, María José, Naiouf, Marcelo, Herrera, Francisco, Fernández, Alberto
Formato:	Objeto de conferencia
Lenguaje:	Inglés
Publicado:	2020
Materias:	Ciencias Informáticas Big Data Smart Data Data Complexity Data Quality
Acceso en línea:	http://sedici.unlp.edu.ar/handle/10915/104775
Aporte de:	SEDICI (UNLP) de Universidad Nacional de La Plata

id	I19-R120-10915-104775
record_format	dspace
institution	Universidad Nacional de La Plata
institution_str	I-19
repository_str	R-120
collection	SEDICI (UNLP)
language	Inglés
topic	Ciencias Informáticas Big Data Smart Data Data Complexity Data Quality
spellingShingle	Ciencias Informáticas Big Data Smart Data Data Complexity Data Quality Basgall, María José Naiouf, Marcelo Herrera, Francisco Fernández, Alberto Towards Smart Data Technologies for Big Data Analytics
topic_facet	Ciencias Informáticas Big Data Smart Data Data Complexity Data Quality
description	Currently the publicly available datasets for Big Data Ana-lytics are of different qualities, and obtaining the expected behavior from the Machine Learning algorithms is crucial. Furthermore, since working with a huge amount of data is usually a time-demanding task, tohave high quality data is required. Smart Data refers to the process of transforming Big Data into clean and reliable data, and this can be accomplished by converting them, reducing unnecessary volume of data or applying some preprocessing techniques with the aim of improve their quality, and still to obtain trustworthy results. We present those properties that affect the quality of data. Also, the available proposals to analyze the quality of huge amount of data and to cope with low quality datasets in an scalable way, are commented. Furthermore, the need for a methodology towards Smart Data is highlighted.
format	Objeto de conferencia Objeto de conferencia
author	Basgall, María José Naiouf, Marcelo Herrera, Francisco Fernández, Alberto
author_facet	Basgall, María José Naiouf, Marcelo Herrera, Francisco Fernández, Alberto
author_sort	Basgall, María José
title	Towards Smart Data Technologies for Big Data Analytics
title_short	Towards Smart Data Technologies for Big Data Analytics
title_full	Towards Smart Data Technologies for Big Data Analytics
title_fullStr	Towards Smart Data Technologies for Big Data Analytics
title_full_unstemmed	Towards Smart Data Technologies for Big Data Analytics
title_sort	towards smart data technologies for big data analytics
publishDate	2020
url	http://sedici.unlp.edu.ar/handle/10915/104775
work_keys_str_mv	AT basgallmariajose towardssmartdatatechnologiesforbigdataanalytics AT naioufmarcelo towardssmartdatatechnologiesforbigdataanalytics AT herrerafrancisco towardssmartdatatechnologiesforbigdataanalytics AT fernandezalberto towardssmartdatatechnologiesforbigdataanalytics
bdutipo_str	Repositorios
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Towards Smart Data Technologies for Big Data Analytics

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