Data analysis on articles retrieved from Web of Science (WOS)
DOI:
https://doi.org/10.5007/1518-2924.2018v23nespp112Keywords:
Information Retrieval, Knowledge Discovery in Databases, Text MiningAbstract
In Data mining and Text mining context, the goal is to analyze data retrieved from Web of Science (WoS). This paper intends to identify patterns in Text mining researches on selection of tools to be used on datamining application. References in BibTeX format were retrieved from articles existing in WoS platform. An application imported data from BibTeX to a MySQL database. The found characteristics led to choose the R programming language and the Apriori algorithm on a subset of data. Data about tools, methods, keywords, indexing terms, journals, countries, and authors were identified in records. Apriori resulted on thirteen association rules. The exploration of data from WoS articles revealed characteristics of Data mining researches. Future works can adapt the application used on this study and use other datamining methods on the dataset.
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