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Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems
Abstract
Te feld of Big Data is rapidly developing with a lot of ongoing research, which will likely continue to expand in the future. A crucial part of this is Knowledge Discovery from Data (KDD), also known as the Knowledge Discovery Process (KDP). Tis process is a very complex procedure, and for that reason it is essential to divide it into several steps (Figure 1). Some authors use fve steps to describe this procedure, whereas others use only four.
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Authors (4)
-
David Gil
-
Magnus Johnsson
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Higinio Mora
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- Accepted or Published Version
- DOI:
- Digital Object Identifier (open in new tab) 10.1155/2019/4184708
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- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
COMPLEXITY
no. 2019,
pages 1 - 4,
ISSN: 1076-2787 - Language:
- English
- Publication year:
- 2019
- Bibliographic description:
- Gil D., Johnsson M., Mora H., Szymański J.: Advances in Architectures, Big Data, and Machine Learning Techniques for Complex Internet of Things Systems// COMPLEXITY -Vol. 2019, (2019), s.1-4
- DOI:
- Digital Object Identifier (open in new tab) 10.1155/2019/4184708
- Verified by:
- Gdańsk University of Technology
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