1 |
Ministry of Employment and Labor, "Classification of Causes of Deaths in Industrial Accidents", 2013.
|
2 |
B. Kim, S. Chang and Y. Suh, "Text Analytics for Classifying Types of Accident Occurrence Using Accident Report Documents", J. Korean Soc. Saf., Vol. 33, No. 3, pp. 58-64, 2018.
DOI
|
3 |
G. Choi, "Cause Analysis of Accidents Associated with Industrial Machines and Devices", J. Korean Soc. Saf., Vol. 33, No. 1, pp. 16-21, 2018.
DOI
|
4 |
B. Song and Y. Suh, "Narrative Texts-based Anomaly Detection Using Accident Report Documents: The Case of Chemical Process Safety", Journal of Loss Prevention in the Process Industries, 2018. https://doi.org/10.1016/j.jlp.2018.08.010
DOI
|
5 |
C. Budayan, "Comparing the Performance of Traditional Cluster Analysis, Self-Organizing Maps and Fuzzy C-means Method for Strategic Grouping", Expert Systems with Applications, Vol. 36, No. 9, pp. 11772-11781, 2009.
DOI
|
6 |
R. Feldman and I. Dagan, "Knowledge Discovery in Textual Databases (KDT)", Proceedings of the First International Conference on Knowledge Discovery and Data Mining (KDD), pp. 112-117, 1995.
|
7 |
E. Turban, "Decision Support and Business Intelligence Systems", Pearson Education Limited, Harlow, UK, 2010.
|
8 |
Y. Suh, "Data Analytics for Social Risk Forecasting and Assessment of New Technology", J. Korean Soc. Saf., Vol. 32, No. 3, pp. 83-89, 2017.
DOI
|
9 |
T. Kohonen, "Self-Organization and Associative Memory", Springer-Verlag, Berlin, Heidelberg, 2012.
|
10 |
T. Kohonen, "The Self-Organizing Map", Neurocomputing, Vol. 21, No. 1-3, pp. 1-6, 1998.
DOI
|
11 |
T. Kohonen, "Essentials of the Self-Organizing Map", Neural Networks, Vol. 37, pp. 52-65, 2013.
DOI
|
12 |
J. Vesanto and E. Alhoniemi, "Clustering of the Self-Organizing Map", IEEE Transactions on Neural Network, Vol.11, No.3, pp. 586-600, 2000.
DOI
|