Data Science with Data Mining and Machine Learning A design science research approach

  • Jorge Duque
  • , António Godinho
  • , José Moreira
  • , José Vasconcelos

Research output: Contribution to journalArticlepeer-review

5 Citations (Scopus)

Abstract

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.

Original languageEnglish
Pages (from-to)245-252
Number of pages8
JournalProcedia Computer Science
Volume237
DOIs
Publication statusPublished - 1 Jan 2024
Event2023 International Conference on Industry Sciences and Computer Science Innovation, iSCSi 2023 - Lisbon, Portugal
Duration: 4 Oct 20236 Oct 2023

Bibliographical note

Publisher Copyright:
© 2024 The Authors. Published by ELSEVIER B.V.

Keywords

  • Artificial Intelligence
  • Data Mining
  • Data Science
  • Decision Support Systems
  • Machine Learning

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