INFORMATION RETRIEVAL AND DATA MINING: CASE STUDY: COVID-19 DASHBOARD ANALYSIS

F. Paletta, Luiz Tavares
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Abstract

Research data mining requires the use of information systems and complex methods of searching, accessing, retrieving, and appropriating information on the web of data. Platforms such as Google Scholar Google, Elsevier, JSTOR, ResearchGate, ScienceDirect and the ones provided by commonly used universities identified with search terms. The challenge is to ensure that researchers are being exposed to the state-of-the-art networked knowledge production. This study aims to analyze the process of searching and retrieving information, reflect on the role of information systems in the search result and the informational skills of the researcher in view of the quality of information retrieved. Case Study: COVID-19 Dashboard Analysis.
信息检索和数据挖掘:案例研究:COVID-19仪表板分析
研究数据挖掘需要使用信息系统和复杂的方法来搜索、访问、检索和利用数据网络上的信息。诸如Google Scholar Google、Elsevier、JSTOR、ResearchGate、ScienceDirect等平台,以及由常用大学提供的与搜索词相关的平台。挑战在于确保研究人员接触到最先进的网络化知识生产。本研究旨在分析检索信息的过程,针对检索到的信息质量,反思信息系统在检索结果中的作用以及研究者的信息技能。案例研究:COVID-19仪表板分析。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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