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

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dc.contributor.authorFaccia, Alessio
dc.contributor.authorMataruna-Dos-Santos, Leonardo Jose
dc.contributor.authorHelú, Hussein Muñoz
dc.contributor.authorGuimaraes-Mataruna, Andressa Fontes
dc.date.accessioned2021-01-27T13:00:27Z
dc.date.available2021-01-27T13:00:27Z
dc.date.copyright© 2020
dc.date.issued2020-05-15
dc.descriptionThis 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/10.1145/3437075.3437086en_US
dc.description.abstractSince 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.sponsorshipLoughborough University, University of Manchesteren_US
dc.identifier.citationFaccia, 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/10.1145/3437075.3437086en_US
dc.identifier.isbn978-145037506-1
dc.identifier.urihttp://hdl.handle.net/20.500.12519/317
dc.language.isoenen_US
dc.publisherAssociation for Computing Machineryen_US
dc.relationAuthors 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.ispartofseriesACM International Conference Proceeding Series;
dc.rightsPermission to reuse abstract has been secured from Association for Computing Machinery
dc.rights.holderCopyright : © 2020 ACM
dc.subjectBig dataen_US
dc.subjectCompetitionen_US
dc.subjectStatistical mechanicsen_US
dc.subjectWeather forecastingen_US
dc.subjectCatastrophic eventen_US
dc.subjectCompetitive advantageen_US
dc.subjectEnvironmental contextsen_US
dc.subjectFinancial analysisen_US
dc.subjectFuture predictionsen_US
dc.subjectQuantum technologiesen_US
dc.subjectRisk and uncertaintyen_US
dc.subjectStatistical techniquesen_US
dc.subjectFractalsen_US
dc.titleTackling Big Data and Black Swans through Fractal Approach and Quantum Technologyen_US
dc.typeConference Paperen_US

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