大数据中的好、丑、坏情境意识:一种社会预测的认知架构

E. D’Avanzo, G. Pilato
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引用次数: 6

摘要

情境感知是一种具有挑战性的方法,旨在实现工件能够意识到周围环境中发生的事情。丑陋的大数据包括那些规模远远超出传统技术处理能力的数据集。坏的是作者的框架,即使知道理想的情况,以好为代表,他们意识到丑陋的存在,并面临一个决定,即使知道它不会是最好的,但它仍然是重要的,以便从黄金的缓存中开采金块。正如每一个成功的故事一样,作者的使命是让“坏”变得越来越“好”。为了使他们的工件越来越被人意识到,就需要领域专家的贡献,正如所提到的方法论分析所论证的那样。
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The Good, the Ugly and the Bad Situation Awareness in the Big Data: A Cognitive Architecture for Social Forecasting
Situation awareness the Good is a challenging approach aiming at realizing artifacts being aware of what happens in the environment around them. Big data the Ugly includes datasets whose magnitude is far away of being processed by traditional techniques. The Bad is the authors' framework that, even knowing about the ideal situation, represented by the Good, they realize the presence of the Ugly and face a decision, even knowing that it will not be the best but it is still important in order to mine nuggets from the cache of gold. As in every successful story, the authors' mission is to make the 'Bad' increasingly 'Good'. To make their artifact increasingly aware of, it is needed the domain expert's contribution, as argued by the methodology analysis to which there is mention.
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