Abstract
Keywords become more crucial in searching any information either in a research database, website or in social media. Another usage of keywords is to identify the pattern for a potential subject area with manipulated elements from the bibliometric information via classification or clustering. There are number of studies were done previously in classification whether in local or international. However, the study regarding clustering was identified as limited to here in Malaysia. Therefore, the intention of this paper is to fill the gap which and identify the pattern for a potential subject area which manipulated one of bibliometric element namely as index’s keywords. The approach that was used to obtain the pattern is bibliomining. In our research, we used one promising application namely Vosviewer to achieve our research objective. Data from Scopus databases from 1995 to 2015 with a total of 46,959 documents can be used after data cleaning. We managed to get 4 clusters to represent some theme in our analysis and output. These might be beneficial to management and other researchers to maneuver the research direction and gives an idea which subject area needs to be focused on and which subject area needs new research.
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Nadzar, N.M.A.M., Bakri, A., Ibrahim, R. (2019). The Study of Co-occurrences Index’s Keywords for Malaysian Publications. In: Saeed, F., Gazem, N., Mohammed, F., Busalim, A. (eds) Recent Trends in Data Science and Soft Computing. IRICT 2018. Advances in Intelligent Systems and Computing, vol 843. Springer, Cham. https://doi.org/10.1007/978-3-319-99007-1_16
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