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http://dx.doi.org/10.12815/kits.2016.15.6.010

Establishment of ITS Policy Issues Investigation Method in the Road Section applied Textmining  

Oh, Chang-Seok (The Board of Audit and Inspection of Korea)
Lee, Yong-taeck (The Board of Audit and Inspection of Korea)
Ko, Minsu (Korea Advanced Institute of Science and Technology)
Publication Information
The Journal of The Korea Institute of Intelligent Transport Systems / v.15, no.6, 2016 , pp. 10-23 More about this Journal
Abstract
With requiring circumspections using big data, this study attempts to develop and apply the search method for audit issues relating to the ITS policy or program. For the foregoing, the auditing process of the board of audit and inspection was converged with the theoretical frame of boundary analysis proposed by William Dunn as an analysis tool for audit issues. Moreover, we apply the text mining technique in order to computerize the analysis tool, which is similar to the boundary analysis in the concept of approaching meta-problems. For the text mining analysis, specific model we applied the antisymmetry-symmetry compound lexeme-based LDA model based on the Latent Dirichlet Allocation(LDA) methodologies proposed by David Blei. The several prime issues were founded through a case analysis as follows: lack of collection of traffic information by the urban traffic information system, which is operated by the National Police Agency, the overlapping problems between the Ministry of Land, Infrastructure and Transport and the Advanced Traffic Management System and fabrication of the mileage on digital tachograph.
Keywords
Big Data; Boundary Analysis; Text Mining; Topic Analysis; LDA Model;
Citations & Related Records
Times Cited By KSCI : 1  (Citation Analysis)
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