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An Introduction to Data Science and Its Applications

In: Data Science and Productivity Analytics

Author

Listed:
  • Alex Rabasa

    (University Miguel Hernandez)

  • Ciara Heavin

    (University College Cork)

Abstract

Data science has become a fundamental discipline, both in the field of basic research and in the resolution of applied problems, where statistics and computer science intersect. Thus, from the perspective of the data itself, machine learning, operation research, methods and algorithms, and data mining techniques are aligned to address new challenges characterised by the complexity, volume and heterogeneous nature of data.

Suggested Citation

  • Alex Rabasa & Ciara Heavin, 2020. "An Introduction to Data Science and Its Applications," International Series in Operations Research & Management Science, in: Vincent Charles & Juan Aparicio & Joe Zhu (ed.), Data Science and Productivity Analytics, chapter 0, pages 57-81, Springer.
    • Handle: RePEc:spr:isochp:978-3-030-43384-0_3
    DOI: 10.1007/978-3-030-43384-0_3
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    Cited by:

    1. David Juárez-Varón & Victoria Tur-Viñes & Alejandro Rabasa-Dolado & Kristina Polotskaya, 2020. "An Adaptive Machine Learning Methodology Applied to Neuromarketing Analysis: Prediction of Consumer Behaviour Regarding the Key Elements of the Packaging Design of an Educational Toy," Social Sciences, MDPI, vol. 9(9), pages 1-23, September.

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