TY - JOUR
T1 - Data Science with Data Mining and Machine Learning A design science research approach
AU - Duque, Jorge
AU - Godinho, António
AU - Moreira, José
AU - Vasconcelos, José
N1 - Publisher Copyright:
© 2024 The Authors. Published by ELSEVIER B.V.
PY - 2024/1/1
Y1 - 2024/1/1
N2 - Access to large amounts of data, provided by continuous technological progress, becomes increasingly important for organisations. The access to data becomes even more useful when managers consult structured information in real time. This requires the adoption of data analysis techniques that, at a strategic level, allow the definition of business goals according to pre-defined objectives, and which help companies in their functional activities. With Data Science, Data Mining and Machine Learning platforms allow the development of decision support systems, capable of establishing patterns between data and making truly useful predictions for decision support. The methodology used in this work aims to combine Data Science methods, such as Data Mining and Machine Learning, in order to demonstrate the importance of transforming data into organised and oriented information to support decision making.
AB - Access to large amounts of data, provided by continuous technological progress, becomes increasingly important for organisations. The access to data becomes even more useful when managers consult structured information in real time. This requires the adoption of data analysis techniques that, at a strategic level, allow the definition of business goals according to pre-defined objectives, and which help companies in their functional activities. With Data Science, Data Mining and Machine Learning platforms allow the development of decision support systems, capable of establishing patterns between data and making truly useful predictions for decision support. The methodology used in this work aims to combine Data Science methods, such as Data Mining and Machine Learning, in order to demonstrate the importance of transforming data into organised and oriented information to support decision making.
KW - Artificial Intelligence
KW - Data Mining
KW - Data Science
KW - Decision Support Systems
KW - Machine Learning
UR - http://www.scopus.com/inward/record.url?scp=85195425671&partnerID=8YFLogxK
U2 - 10.1016/j.procs.2024.05.102
DO - 10.1016/j.procs.2024.05.102
M3 - Article
AN - SCOPUS:85195425671
SN - 1877-0509
VL - 237
SP - 245
EP - 252
JO - Procedia Computer Science
JF - Procedia Computer Science
T2 - 2023 International Conference on Industry Sciences and Computer Science Innovation, iSCSi 2023
Y2 - 4 October 2023 through 6 October 2023
ER -