数据挖掘-联邦公共管理机构的可能性和应用的发人深省的一瞥

IF 0.4 Q4 PUBLIC ADMINISTRATION
Roberto Rosa da Silveira Junior, Daniel Lins Rodriguez
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引用次数: 0

摘要

这项工作的目的是描述知识发现过程(KDD),并将其用于当前由社交网络、机器人和不同组织系统生成的大量数据中。其目的是展示数据挖掘的使用,而不是深入计算应用算法的更深入细节,而是用理论工具、公共服务器和管理人员进行补贴,以便他们能够理解数据挖掘的任务和技术,并支持这些技术在日常生活中的实施和应用,以提高其活动的有效性、范围和视角。进行了定性研究,以分析文献中发现的与数据挖掘相关的应用。因此,考虑到联邦公共行政机构的不同背景,确定了数据挖掘技术的一系列应用可能性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Mineração de dados - um olhar instigante de possibilidades e aplicações para órgãos da administração pública federal
The objective of this work is to describe the knowledge discovery process ( KDD ) and use it in this huge volume of data currently generated by social networks, robots and different organizational systems. The intention is to demonstrate the use of data mining without going into the deeper details of computationally applicable algorithms, but subsidize with theoretical tools, public servers and managers, so that they can understand the tasks and techniques of data mining and enable supporting the implementation and application of these techniques in their daily lives in order to increase effectiveness, scope and perspective of their activities. A qualitative research was carried out to analyze applications related to data mining found in the literature. As a result, a range of application possibilities for data mining techniques was identified, considering different contexts in federal public administration agencies.
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来源期刊
Revista do Servico Publico
Revista do Servico Publico PUBLIC ADMINISTRATION-
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