文章基本信息

标题：Big Data: From Forecasting to Mesoscopic Understanding. Meta-Profiling as Complex Systems
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作者：Gianfranco Minati
期刊名称：Systems
电子版ISSN：2079-8954
出版年度：2019
卷号：7
期号：1
页码：8-29
DOI：10.3390/systems7010008
出版社：MDPI Publishing
摘要：We consider Big Data as a phenomenon with acquired properties, similar to collective behaviours, that establishes virtual collective beings. We consider the occurrence of ongoing non-equivalent multiple properties in the conceptual framework of structural dynamics given by sequences of structures and not only by different values assumed by the same structure. We consider the difference between modelling and profiling in a constructivist way, as De Finetti intended probability to exist, depending on the configuration taken into consideration. The past has little or no influence, while events and their configurations are not memorised. Any configuration of events is new, and the probabilistic values to be considered are reset. As for collective behaviours, we introduce methodological and conceptual proposals using mesoscopic variables and their property profiles and meta-profile Big Data and non-computable profiles which were inspired by the use of natural computing to deal with cyber-ecosystems. The focus is on ongoing profiles, in which the arising properties trace trajectories, rather than assuming that we can foresee them based on the past.
关键词：collective behaviour; dynamics; fuzzy; mesoscopic; meta-profile; model; non-computable collective behaviour ; dynamics ; fuzzy ; mesoscopic ; meta-profile ; model ; non-computable