Resumo
The digital age is responsible for the continuous growth of data volume. Everything related to Information and Communication Technologies contributes to the exponential growth of data, such as social networks, financial technology, and scientific data. Data Mining is a method of extracting data from systems such as Business Intelligence, Big Data, Data Warehouse, so that the patterns extracted during the process are considered information, knowledge, in relation to the theoretical concepts that support them. In this sense, these patterns should be presented as representations of knowledge. In the test case presented, we observed the various phases of the knowledge discovery process and analysed data using regression and classification models, to support companies in the knowledge management.
Idioma original | Inglês |
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Páginas (de-até) | 455-461 |
Número de páginas | 7 |
Revista | Procedia Computer Science |
Volume | 219 |
DOIs | |
Estado da publicação | Publicadas - 2023 |
Publicado externamente | Sim |
Evento | 2022 International Conference on ENTERprise Information Systems, CENTERIS 2022 - International Conference on Project MANagement, ProjMAN 2022 and International Conference on Health and Social Care Information Systems and Technologies, HCist 2022 - Lisbon Duração: 9 nov. 2022 → 11 nov. 2022 |
Nota bibliográfica
Publisher Copyright:© 2023 The Authors. Published by Elsevier B.V.