Towards Smart Data Technologies for Big Data Analytics

dc.creatorBasgall, María José
dc.creatorNaiouf, Marcelo
dc.creatorHerrera, Francisco
dc.creatorFernández, Alberto
dc.date2020-09
dc.date2020
dc.date2020-09-16T16:42:25Z
dc.date.accessioned2023-07-14T22:06:46Z
dc.date.available2023-07-14T22:06:46Z
dc.identifierhttp://sedici.unlp.edu.ar/handle/10915/104775
dc.identifierisbn:978-950-34-1927-4
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/7445656
dc.descriptionCurrently 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.
dc.descriptionInstituto de Investigación en Informática
dc.descriptionInstituto de Investigación en Informática
dc.formatapplication/pdf
dc.format44-47
dc.languageen
dc.rightshttp://creativecommons.org/licenses/by-nc-sa/4.0/
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
dc.subjectCiencias Informáticas
dc.subjectBig Data
dc.subjectSmart Data
dc.subjectData Complexity
dc.subjectData Quality
dc.titleTowards Smart Data Technologies for Big Data Analytics
dc.typeObjeto de conferencia
dc.typeObjeto de conferencia


Este ítem pertenece a la siguiente institución