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Decision Processes Based on IoT Data for Sustainable Smart Cities

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Part of the book series: Lecture Notes in Computer Science ((TCCI,volume 11290))

Abstract

The work presents the using of decision trees for improvement of building business models for IoT (Internet of Things). During the construction of the method, the importance of decision trees and business models for decisions making was presented. The method of using SaaS (Software as a Service) technology and IoT has been proposed. The method has been verified by applying to building business models for the use of IoT nodes to measure air quality for Smart Cities.

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Correspondence to Cezary Orlowski .

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Orlowski, C., Sarzyński, A., Karatzas, K., Katsifarakis, N. (2018). Decision Processes Based on IoT Data for Sustainable Smart Cities. In: Nguyen, N., Kowalczyk, R., Mercik, J., Motylska-Kuźma, A. (eds) Transactions on Computational Collective Intelligence XXXI. Lecture Notes in Computer Science(), vol 11290. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-58464-4_12

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  • DOI: https://doi.org/10.1007/978-3-662-58464-4_12

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-58463-7

  • Online ISBN: 978-3-662-58464-4

  • eBook Packages: Computer ScienceComputer Science (R0)

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