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Data mining of relationship in crowdsourcing projects and social activities of citizens

机译:众包项目和公民社会活动中关系的数据挖掘

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This paper considered defining relationships between various the social activity of the population of the region and the quantitative characteristics of its representation in crowdsourcing project OpenStreetMap (OSM). The research of factors that influence to the social activity of the population and creating volunteered geographic information was performed. Assumption about a correlation between social activity of population and OSM data is verified based on constructing spatial data mining models for example of territory of Ukraine. The basic geographical peculiarities of the distribution relationships and the possibility of their use in regional studies were marked.
机译:本文考虑了定义该地区人口的各种社会活动与其在众包项目OpenStreetMap(OSM)中的代表数量特征之间的关系。研究了影响人口社会活动并创建自愿性地理信息的因素。在构建空间数据挖掘模型(例如乌克兰领土)的基础上,验证了有关人口社会活动与OSM数据之间相关性的假设。标出了分布关系的基本地理特征,以及它们在区域研究中使用的可能性。

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