J
Jong Hwan Suh
Researcher at KAIST
Publications - 22
Citations - 675
Jong Hwan Suh is an academic researcher from KAIST. The author has contributed to research in topics: The Internet & Ubiquitous computing. The author has an hindex of 9, co-authored 21 publications receiving 553 citations. Previous affiliations of Jong Hwan Suh include Gyeongsang National University & Samsung SDS.
Papers
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Visualization of patent analysis for emerging technology
TL;DR: This paper proposes an alternative visualization method for patent analysis patent maps based on forming a semantic network of keywords from patent documents which visualizes a clear overview of patent information in a more comprehensible way.
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Dynamic patterns of industry convergence: Evidence from a large amount of unstructured data
TL;DR: In this paper, the authors conduct a co-occurrence-based analysis of text mining for a large volume of unstructured data and suggest using an industry convergence index based on normalized pointwise mutual information (PMI).
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Dynamic Patterns of Industry Convergence: Evidence from a Large Amount of Unstructured Data
TL;DR: In this paper, the authors investigate the trends and patterns of market-side industry convergence for entire sectors of the U.S. economy and suggest an industry convergence index based on normalized pointwise mutual information (PMI).
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Service-oriented Technology Roadmap (SoTRM) using patent map for R&D strategy of service industry
Jong Hwan Suh,Sang Chan Park +1 more
TL;DR: The patent map is a three-dimensional visualization method and analysis tool based on keywords, which contributes to evaluating emerging technologies for services and SoTRM is a technology roadmap customized for the service industry.
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Applying text and data mining techniques to forecasting the trend of petitions filed to e-People
TL;DR: This paper proposes the framework of applying text and data mining techniques not only to analyze a large number of petitions filed to e-People but also to predict the trend of petitions to help petition inspectors give more attention on detecting and tracking important groups of petitions that possibly grow as nationwide problems.