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http://dx.doi.org/10.17662/ksdim.2019.15.1.001

Research Trends Analysis of Big Data: Focused on the Topic Modeling  

Park, Jongsoon (서일대학교 소프트웨어공학과)
Kim, Changsik (배화여자대학교 글로벌관광과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.15, no.1, 2019 , pp. 1-7 More about this Journal
Abstract
The objective of this study is to examine the trends in big data. Research abstracts were extracted from 4,019 articles, published between 1995 and 2018, on Web of Science and were analyzed using topic modeling and time series analysis. The 20 single-term topics that appeared most frequently were as follows: model, technology, algorithm, problem, performance, network, framework, analytics, management, process, value, user, knowledge, dataset, resource, service, cloud, storage, business, and health. The 20 multi-term topics were as follows: sense technology architecture (T10), decision system (T18), classification algorithm (T03), data analytics (T17), system performance (T09), data science (T06), distribution method (T20), service dataset (T19), network communication (T05), customer & business (T16), cloud computing (T02), health care (T14), smart city (T11), patient & disease (T04), privacy & security (T08), research design (T01), social media (T12), student & education (T13), energy consumption (T07), supply chain management (T15). The time series data indicated that the 40 single-term topics and multi-term topics were hot topics. This study provides suggestions for future research.
Keywords
Big Data; Topic Modeling; Time Series Analysis; Single-Term Topics; Multi-Term Topics;
Citations & Related Records
Times Cited By KSCI : 6  (Citation Analysis)
연도 인용수 순위
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