“地域智慧”和突发行为

C. Giovannella
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引用次数: 27

摘要

个人设备和领域的日益智能化正在迅速改变数据生产的场景。数据访问和/或数据占有可以决定特权地位,但真正的竞争优势将越来越多地来自识别相关维度和流动的能力,当然,从中提取有意义的多维描述,旨在检测和预见紧急行为(特别是与小社区相关的行为),或者换句话说,来自将“大数据”转化为“智能数据”的能力。实现这一目标的先决条件是确定适当的模型和足够的表示空间,这可能会激发适当的分析策略和方法的发展。这里将提供几个例子。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
“Territorial smartness” and emergent behaviors
The increasing smarteness of personal devices and territories are rapidly changing the scenarios of data production. Data access and/or data possession can determine positions of privilege, but the real competitive advantage will derive more and more from the ability to identify relevant dimensions and flows and, of course, from that to extract meaningful multidimensional descriptions aimed at detecting and foreseeing emergent behaviors (particularly relevant those concerning small communities) or, in other words, from the ability to transform “big data” into”smart data”. Prerequisite for obtaining this goal is the identification of appropriate models and adequate spaces of representation that may inspire the development of appropriate strategies and methods of analysis. Few examples will be provided.
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