JKSCE
KSCE JOURNAL OF CIVIL AND
ENVIRONMENTAL ENGINEERING RESEARCH
KSCE
Contact
ISSN : 1015-6348 (Print)
ISSN : 2799-9629 (Online)
Mobile QR Code
Journal of the Korean Society of Civil Engineers
ISO Journal Title
KSCE J. Civ. Environ. Eng. Res.
Open Access, Bi-monthly
Main Menu
Main Menu
최근호
Current Issue
논문집
Journal Archive
저널소개
About Journal
편집위원회
Editorial Board
논문투고안내
For Authors and Reviewers
윤리규정
Publication Ethics
Principles of Transparency and Best Practice
Business Model
연락처
Contact Info
논문투고
E-submission
Journal Search
Home
All Issues
2019-06
(v.39 n.3)
10.12652/Ksce.2019.39.3.0461
Journal XML
XML
PDF
INFO
REF
1
Agrawal, R., Imieliski, T. and Swami, A. (1993). "Mining association rules between sets of items in large databases." In Proc. of the ACM SIGMOD International Conference on Management of Data, Washington, D.C., ACM, pp. 207-216.
2
Ankerst, M., Breunig, M. M., Kriegel, H. P. and Sander, J. (1999). "OPTICS: ordering points to identify the clustering structure." In Proc. of ACM Sigmod record, ACM, Vol. 28, No. 2, pp. 49-60.
3
Anselin, L. (1995). "Local indicators of spatial association-LISA." Geographical Analysis, Vol. 27, No. 2, pp. 93-115.
4
Cao, H., Mamoulis, N. and Cheung, D. W. (2005). "Mining frequent spatio-temporal sequential patterns." In Proc. of Fifth IEEE International Conference Data Mining, IEEE, pp. 82-89.
5
Ester, M., Kriegel, H. P., Sander, J. and Xu, X. (1996). "A density- based algorithm for discovering clusters in large spatial databases with noise." In Proc. of 2nd International Conference on Knowledge Discovery and Data Mining, Vol. 96, pp. 226-231.
6
Gao, Y., Li, T., Wang, S., Jeong, M. H. and Soltani, K. (2018). "A multidimensional spatial scan statistics approach to movement pattern comparison." International Journal of Geographical Information Science, Vol. 32, No. 7, pp. 1304-1325.
7
Guo, D. and Zhu, X. (2014). "Origin-destination flow data smoothing and mapping." IEEE Transactions on Visualization and Computer Graphics, Vol. 20, No. 12, pp. 2043-2052.
8
Jeong, M. H., Wang, S. and Yin, J. (2018). "Outlier detection and comparison of origin-destination flows using data depth." In Proc. of 10th International Conference on Geographical Information Science, pp. 6:1-6:14.
9
Kakao (2018). 2018 Kakaomobility Report. Available at: (Accessed: January 12, 2019).
10
Mazimpaka, J. D. and Timpf, S. (2016). "Trajectory data mining: A review of methods and applications." Journal of Spatial Information Science, Vol. 13, pp. 61-99.
11
Ord, J. K. and Getis, A. (1995). "Local spatial autocorrelation statistics: distributional issues and an application." Geographical Analysis, Vol. 27, No. 4, pp. 286-306.
12
Rokach, L. (2009). A survey of clustering algorithms. In Data mining and knowledge discovery handbook, Springer, Boston, MA, pp. 269-298.
13
Zheng, Y. (2015). "Trajectory data mining: an overview." ACM Transactions on Intelligent Systems and Technology (TIST), Vol. 6, No. 3, p. 29.