Author:
Järvinen Paula,Siltanen Pekka,Kirschenbaum Amit
Abstract
AbstractIn this chapter we give an introduction to data analytics and machine learning technologies, as well as some examples of technologies used in the DataBio project. We start with a short intdroduction of basic concepts. We then describe how data analytics and machine learning markets have evolved. Next, we describe some basic technologies in the area. Finally, we describe how data analytics and machine learning were used in selected pilot cases of the DataBio project.
Funder
Horizon 2020 Framework Programme
Publisher
Springer International Publishing
Reference25 articles.
1. Tan, P. N., Steinbach, M., & Kumar, V. (2006). Introduction to data mining, First edition, Addison Wesley.
2. Alpaydin, E. (2020). Introduction to machine learning. MIT press.
3. Wong, P. C. (1999). Guest editor’s introduction: Visual data mining. IEEE Computer Graphics and Applications, 19(5), 20–21.
4. Ferreira de Oliveira, M. C., & Levkowitz, H. (2003). From visual data exploration to visual data mining: A survey. Visualization and Computer Graphics, IEEE Transactions, 9(3), 378–394.
5. Kaplan, A., & Haenlein, M. (2019). Siri, Siri, in my hand: Who’s the fairest in the land? On the interpretations, illustrations, and implications of artificial intelligence. Business Horizons, 62(1), 15–25.
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