Analysis of Hotspots in the Field of Domestic Knowledge Discovery Based on Co-word Analysis Method

Xindi Wang (), Jingjing Liu () and Fushen Sheng ()
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Xindi Wang: Beijing Jiaotong University
Jingjing Liu: Beijing Jiaotong University
Fushen Sheng: Tianjin Campus of Naval Engineering University

A chapter in LISS 2014, 2015, pp 643-649 from Springer

Abstract: Abstract In this article, by choosing highly frequent keywords from core journals in the field of 1992–2013 knowledge discovery in CNKI database, counting the number of two frequent keywords co-occurrences in the same journal, then constructing the highly frequent keywords matrix, and transforming the highly frequent keywords matrix into the correlation matrix and the dissimilarity matrix, then we analyzed the dissimilarity matrix based on the use of factor analysis, cluster analysis. Finally, after discussing the results of the analysis, we found that the current hotspots in the field of domestic knowledge discovery have focused on following six aspects, the knowledge discovery based on data research, knowledge discovery algorithm optimization research, the model of knowledge discovery and research of literature study, knowledge management based on domain ontology, expert system construction research, and applied research of knowledge discovery.

Keywords: Knowledge discovery; Co-word analysis; Cluster analysis; Factor analysis (search for similar items in EconPapers)
Date: 2015
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-662-43871-8_92

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DOI: 10.1007/978-3-662-43871-8_92

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