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

Autor: Francisco Carlos Paletta, Luiz Tavares
Jazyk: English<br />Spanish; Castilian<br />Portuguese
Rok vydání: 2021
Předmět:
Zdroj: Environmental Smoke, Vol 4, Iss 1 (2021)
Druh dokumentu: article
ISSN: 2595-5527
DOI: 10.32435/envsmoke.20214124-31
Popis: 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.
Databáze: Directory of Open Access Journals