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.
Authors
Additional information
- DOI
- Digital Object Identifier link open in new tab 10.1109/hsi.2015.7170644
- Category
- Aktywność konferencyjna
- Type
- materiały konferencyjne indeksowane w Web of Science
- Language
- angielski
- Publication year
- 2015
