Tackling Big Data and Black Swans through Fractal Approach and Quantum Technology

dc.contributor.author Faccia, Alessio
dc.contributor.author Mataruna-Dos-Santos, Leonardo Jose
dc.contributor.author Helú, Hussein Muñoz
dc.contributor.author Guimaraes-Mataruna, Andressa Fontes
dc.date.accessioned 2021-01-27T13:00:27Z
dc.date.available 2021-01-27T13:00:27Z
dc.date.copyright © 2020
dc.date.issued 2020-05-15
dc.description This article is not available at CUD collection. The version of scholarly record of this article is published in ACM International Conference Proceeding Series (2020), available online at: https://doi-org.ezp.cud.ac.ae/10.1145/3437075.3437086 en_US
dc.description.abstract Since the dawn of time, man has always tried to predict the future. Inserted in an environmental context, the knowledge of the variables that influenced his life allowed him to reap daily benefits and ultimately ensured his survival. Weather forecasts, bets on sports results, financial analysis, estimation of life span probabilities, to name just a few examples, are based on increasingly accurate estimates thanks to increasingly efficient statistical techniques and detection tools. Risk and uncertainty, however, although increasingly limited, represent an essential variable of any future event. The possibility of measuring and preventing (even if close to their occurrence) unlikely, but potentially catastrophic events, can determine extraordinary competitive advantages or even just guarantee the survival of a business or human existence. Unlikely events, but catastrophic, are the so-called "black swans"[1], and represent the nightmare of those who rely on the Gaussian approach, since, even if they fall into the tails of the bell, they represent a non-negligible threat. Studies on the black swan, especially after the events linked to the outbreak of the COVID-19 pandemic, have brought to light the so-called fractal approach that comes closest to the occurrence of most natural events. The analysis of big data, focused on the identification of the black swan, can follow different paths, in any case, the "normal"Gauss curve, as demonstrated, does not lend itself to this type of analysis, therefore most of the statistical tools which are based on this are not suitable for these analyses. This research highlights and tries to demonstrate how the fractal approach, combined with quantum technology, could really represent a great advance in the reliability of future predictions and the detection of black swans. © 2020 ACM. en_US
dc.description.sponsorship Loughborough University, University of Manchester en_US
dc.identifier.citation Faccia, A., Mataruna-Dos-Santos, L. J., Helú, H. M., & Guimaraes-Mataruna, A. F. (2020, May). Tackling Big Data and Black Swans through Fractal Approach and Quantum Technology. In Proceedings of the 2020 International Conference on Big Data in Management (pp. 28-32). https://doi-org.ezp.cud.ac.ae/10.1145/3437075.3437086 en_US
dc.identifier.isbn 978-145037506-1
dc.identifier.uri http://hdl.handle.net/20.500.12519/317
dc.language.iso en en_US
dc.publisher Association for Computing Machinery en_US
dc.relation Authors Affiliations : Faccia, A., Coventry University Priory, Coventry, United Kingdom; Mataruna-Dos-Santos, L.J., Canadian University of Dubai, Dubai, United Arab Emirates; Helú, H.M., Department of Economic-Administrative Sciences, Universidad Autònoma de Occidente, Culiacan, Mexico; Guimaraes-Mataruna, A.F., Coventry University Priory, Coventry, United Kingdom
dc.relation.ispartofseries ACM International Conference Proceeding Series;
dc.rights Permission to reuse abstract has been secured from Association for Computing Machinery
dc.rights.holder Copyright : © 2020 ACM
dc.subject Big data en_US
dc.subject Competition en_US
dc.subject Statistical mechanics en_US
dc.subject Weather forecasting en_US
dc.subject Catastrophic event en_US
dc.subject Competitive advantage en_US
dc.subject Environmental contexts en_US
dc.subject Financial analysis en_US
dc.subject Future predictions en_US
dc.subject Quantum technologies en_US
dc.subject Risk and uncertainty en_US
dc.subject Statistical techniques en_US
dc.subject Fractals en_US
dc.title Tackling Big Data and Black Swans through Fractal Approach and Quantum Technology en_US
dc.type Conference Paper en_US
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