Real-Time Analysis of Online Sources for Supporting Business Intelligence Illustrated with Bitcoin Investments and IoT Smart-Meter Sensors in Smart Cities

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García-Magariño García, Iván and Nasralla, Moustafa M. and Nazir, Shah (2020) Real-Time Analysis of Online Sources for Supporting Business Intelligence Illustrated with Bitcoin Investments and IoT Smart-Meter Sensors in Smart Cities. Electronics, 9 (7). p. 1101. ISSN 2079-9292

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Official URL: https://doi.org/10.3390/electronics9071101




Abstract

Real-time data management analytics involve capturing data in real-time and, at the same time, processing data in a light way to provide an effective real-time support. Real-time data management analytics are key for supporting decisions of business intelligence. The proposed approach covers all these phases by (a) monitoring online information from websites with Selenium-based software and incrementally conforming a database, and (b) incrementally updating summarized information to support real-time decisions. We have illustrated this approach for the investor–company field with the particular fields of Bitcoin cryptocurrency and Internet-of-Things (IoT) smart-meter sensors in smart cities. The results of 40 simulations on historic data showed that one of the proposed investor strategies achieved 7.96% of profits on average in less than two weeks. However, these simulations and other simulations of up to 69 days showed that the benefits were highly variable in these two sets of simulations (respective standard deviations were 24.6% and 19.2%).


Item Type:Article
Uncontrolled Keywords:real-time data management; IoT; smart city; Bitcoin; business intelligence; investor strategy; cryptocurrency; energy consumption
Subjects:Sciences > Computer science
Sciences > Computer science > Artificial intelligence
ID Code:67556
Deposited On:30 Aug 2021 07:48
Last Modified:30 Aug 2021 07:48

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