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Collective citizens' behavior modelling with support of the Internet of Things and Big Data

Abstract

In this paper, collective human behaviors are modelled by a development of Big Data mining related to the Internet of Things. Some studies under MapReduce architectures have been carried out to improve an efficiency of Big Data mining. Intelligent agents in data mining have been analyzed for smart city systems, as well as data mining has been described by genetic programming. Furthermore, artificial neural networks have been discussed in data mining as well as an analysis of Tweeter's blogs for citizens has been proposed. Finally, some numerical experiments with fire spread around Tricity, Poland have been submitted.

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Details

Category:
Conference activity
Type:
materiały konferencyjne indeksowane w Web of Science
Title of issue:
8th International Conference on Human System Interactions (HSI) strony 61 - 67
Language:
English
Publication year:
2015
Bibliographic description:
Balicki J., Beringer M., Korłub W., Przybyłek P., Tyszka M., Zadroga M..: Collective citizens' behavior modelling with support of the Internet of Things and Big Data, W: 8th International Conference on Human System Interactions (HSI), 2015, IEEE,.
DOI:
Digital Object Identifier (open in new tab) 10.1109/hsi.2015.7170644
Verified by:
Gdańsk University of Technology

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