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- W3083908082 abstract "The aim of this thesis is to support decision making in smart cities through crowdsourcing process. In this thesis, there is analysis of concepts such as crowdsourcing, big data, smart cities, decision support system and the utilization of data to make our cities more efficient for their citizens and for people working in them. In the first part of this thesis we focus on the theoretical approach from existing bibliography. There is an extended review of the relevant concepts and of the exploitation of data that affect decision making. The second part of this thesis, is about the empirical method of collecting and exploiting data. We developed a system of data collection, where data derived from problems that citizens of a specific city face. We analyzed data with a system of business intelligence and we then proceeded to data utilization. Concluding, there is a review of potential future development of the existing system and its evaluation." @default.
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- W3083908082 date "2017-07-11" @default.
- W3083908082 modified "2023-09-26" @default.
- W3083908082 title "Decision support system for smart cities based on crowdsourcing and big data analysis" @default.
- W3083908082 hasPublicationYear "2017" @default.
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