References
- ACRC(2013). A Study on Reasonable Management of Public Sector Chromic Petitions by Reviewing Overseas Cases. Anti-Corrpuration & Civil Rights Commission.
- ACRC(2019a). [Two years of government launch](3) National participation and communication policy culture settled in.... Reinforcing the resolution of national discomfort based on "Civil Petitions Big Data", Anti-Corrpuration & Civil Rights Commission(May 23, 2019. released).
- ACRC(2019b). Sinmungo Petition Data: Q1 2019. Anti-Corrpuration & Civil Rights Commission.
- ACT No. 15617(2018). Act on the Prevention of Corrution and the Establishment and Management of the Anti-Corruption and Civil Rights Commission.
- ACT No. 14839(2017). Civil Petitions Treatment Act.
- Aggarwal, C. C. (2013). "Proximity-Based Outlier Detection, Outlier Analysis." in Outlier Analysis, 101-133, Berlin, Heidelberg: Springer.
- Daegu(2015). A Study on the Development Direction of Big Data and Cloud-based Civil Service: Focusing on Civil Service Proposal Integrated Management System. Daegu Metropolitan City.
- EGOV24(2008). E-Petitions G4C Introduction, Ministry of the Interior and Safety.
- EGOV24(2019). E-Petition Service Status. Ministry of the Interior and Safety.
- Eun, J. (2006). "The Roh Administration's Strategies of Government Innovation: Continuity and Discontinuity." Korean Journal of Public Administration, 44(3), 207-247.
- Guzman, R. (2018). "Sampling: Markov Chains.", https://relguzman.blogspot.com/2018/04/sampling-markov-chains.html. (Retrieved on November 1, 2019).
- Hawkins, D. (1980). Identification of Outliers, Chapman and Hall.
- Jeong, H., Hatori, T. & Kobayashi, K. (2007). Discourse Analysis of Public Debates: a Corpus-Based Approach. Proceedings of the IEEE Systems, Man, and Cybernetics Conference, Montreal, Canada, 7-10 October: 1782-1793.
- Jeong, H. (2008). A Study on Public Deliberation in Provision of Social Overhead Capital, Kyoto University(in Japanese).
- Jeong, H., Kobayashi, K., Hatori, K. & Shiramatsu, S. (2010). "Facet Decomposition and Discourse Analysis of Public Debate." Journal of Japan Society of Civil Engineers, Ser. F(Construction and Management), 66(1): 45-56(in Japanese).
- Jeong, H, Lee, T. & Hong, S. (2017). "A Copus Analysis of Electronic Petitions For Improving the Responsiveness of Public Services: Forcusing on Busan Petiton." The Korean Journal of Local Government Studies, 21(1), 423-436. https://doi.org/10.20484/klog.21.1.17
- Jeong, H., Shiramatsu, S., Kobayashi, K. & Hatori, T. (2008). "Discourse Analysis of Public Debates Using Corpus Inguistic Methodologies." Journal of Computers, 3(8): 58-68
- Jung, H. (2006). "A Study on Efficient Solution for Collective Petitions- Centering on Chungcheongnam-do Province." The Korea Local Administration Review, 20(4), 83-108.
- KCC(1985). Petitoins Management Guidelines, The Korea Coal Corporation(1992 revised).
- Kim, K. & Son, Y. (2018). "Change Acceptable In-Depth Searching in LOD Cloud for Efficient Knowledge Expansion." The Journal of Intelligence and Information Systems, 24(2), 171-193. https://doi.org/10.13088/JIIS.2018.24.2.171
- Lee, T., Hong, S. & Jeong, H. (2017). "A Time Series Analysis on the Daily Media Corpus of Public Project in Local Government: Focusing on the Gijang Seawater Desalination Plant Project", The Korean Journal of Local Government Studies, 20(4), 1-23. https://doi.org/10.20484/klog.20.4.1
- Majumder, G., Pakray, P., Gelbukh, A. & Pinto, D. (2016). "Semantic Textual Similarity Methods, Tools, and Applications: A Survey." Research Advances and Applications of Evolutionary Computation, 20(4), 647-665.
- Min, H., Park, J., Lee, D. & Kim, I. (2014). "Outlier Detection Method for Mobile Banking with User Input Pattern and E-finance Transaction Pattern." Journal of Internet Computing and Services(JICS), 15(1), 157-170. https://doi.org/10.7472/jksii.2014.15.1.157
- Modi, K. & Oza, B. (2016). "Outlier Analysis Approaches in Data Mining." IJIRT, 3(7), 6-12.
- Oh, M., Park, A., Kim, Y. & Jin, J. (2018). A Study on anomaly detection based on Machine Learning. Sejong: Korea Institute for Health and Social Affairs.
- Oh, S. (1984). "A Study on Civil Petition Administration." Korean Journal of Public Administration, 22(1), 1001-1023.
- PSIIF(2005), Citizen Participatory Petition System Improvement Manual, Petitions System Improvement and Innovation Forum supported by The Korea Institute of Public Administration.
- Rahman,M.S, & Brishty, F. P. (2018). "Anomaly detection of river data for disaster prevention." The International Journal of Engineering and Science(IJES), 7(9.I), 59-68.
- Richardson, C. (2009). Virus detection with machine learning. University of Bristol.
- Scikit-learn(2019). Novelty and Outlier Detection (2019-07-07 accessed).
- Tukey, J.W. (1977). Exploratory data analysis, Addison-Wesley.
- Watson, M. R., Shirazi, N., Marnerides, A. K., Mauthe, A. & Hutchison, D. (2016). "Malware Detection in Cloud Computing Infrastructures." IEEE Transactions on Dependable and Secure Computing, 13(2), 192-205. https://doi.org/10.1109/TDSC.2015.2457918
- WCPP(2019). How to submit a petition, Western cape provincial parliament.
- Wilcox, R. R. (1996). Statistics for the social sciences. Academic Press.
- Yahalom, S. (2008). "URI Anomaly Detection Using Similarity Metrics." Master's Thesis, School of Computer Science, Tel-Aviv University.
- Yeon, J., Shim, J. & Lee, S. (2013). "Outlier Detection Techniques for Biased Opinion Discovery." The Journal of Society for e-Business Studies, 18(4), 315-326. https://doi.org/10.7838/jsebs.2013.18.4.315
- Yi, S., Rhew, S. & Lee, K. (2009). "A Study on the Construction of the System Integration Management System for Civil Affairs." Journal of the Korea Society of Computer and Information, 14(8), 107-109.
- Yoon, Y. (1997). Information Society and Teledemocracy: Issues and Prospects. in Lee, H. & Choi, J. (ed.) Utopia of communication? : Informatization and Korean Life, 23-40. Kyunggi: Nanam Publishing.