Utilize este identificador para referenciar este registo:
https://hdl.handle.net/1822/67829
Título: | Importance of statistics for Data Mining and Data Science |
Autor(es): | Ribeiro, Vítor Rocha, André Peixoto, Rui Portela, Filipe Santos, Manuel |
Palavras-chave: | Data Mining Statistics Statistical Analysis Data Science |
Data: | 2017 |
Editora: | IEEE |
Resumo(s): | Knowledge has been significantly recognized by managers as an important asset for organizations. This recognition stems from the fact that knowledge is increasingly used as a strategic resource to create competitive advantage, improve organizational processes, reduce costs, and more. Data Mining (DM) is an area of study that facilitates that process, allowing you to extract useful information and predictions from the vast data sets produced by the company. With the help of statistics and their mathematical methods, DM has gradually become important and useful. Some of the main statistical metrics used to perform data analysis are mean, median, variance, standard deviation, variance analysis, correlation and regression. This study aims to highlight and prove the importance of statistics in DM, which has so much potential in terms of creating a competitive advantage on behalf of the companies. A case study using Intensive Care Medicine data were chosen to prove the importance of statistics for Data Mining. |
Tipo: | Artigo em ata de conferência |
URI: | https://hdl.handle.net/1822/67829 |
ISBN: | 9781538632819 |
DOI: | 10.1109/FiCloudW.2017.86 |
Versão da editora: | https://ieeexplore.ieee.org/document/8113787/ |
Arbitragem científica: | yes |
Acesso: | Acesso aberto |
Aparece nas coleções: |
Ficheiros deste registo:
Ficheiro | Descrição | Tamanho | Formato | |
---|---|---|---|---|
2017 - IEEE - Importance of Statistics for Data Mining and Data Science.pdf | 715,08 kB | Adobe PDF | Ver/Abrir |