JKSCE - KSCE JOURNAL OF CIVIL AND ENVIRONMENTAL ENGINEERING RESEARCH

1

Beautiful Soup (2020). "Beautiful soup documentation", Available at: https://www.crummy.com/software/BeautifulSoup/bs4/doc/ (Accessed: June 25, 2020).

2

Cho J. H. (2012). "A study on the causes analysis and preventive measures by disaster types in construction fields.", Journal of the Korea Safety Management & Science, Vol. 14, No. 1, pp. 7-13

3

Cho Y. R., Kim Y. C., Shin Y. S. (2017). "Prediction model of construction safety accidents using decision tree technique.", Journal of the Korea Institute of Building Construction, Vol. vol 17, No. 3, pp. 295-303 (in Korean)

4

Choi S. J., Kim J. H., Jung K. H. (2021). "Development of prediction models for fatal accidents using proactive information in construction sites.", Journal of the Korean Society of Safety, Vol. 36, No. 3, pp. 31-39 (in Korean)

5

Choi S. Y. (2020). "Comparison analysis of deaths in construction industry in OECD countries", Construction & Economy Research Institute of Korea, pp. 13 (in Korean).

6

Cortes C., Vapnik V. (1995). "Support-vector networks.", Machine Learning, Vol. 20, pp. 273-297

7

Devlin J., Chang M. W., Lee K., Toutanova K. (2019). "BERT: Pre-training of deep bidirectional transformers for language understanding.", arXiv:1810.04805v2, pp. 1-16

8

Fisher A., Rudin C., Dominici F. (2019). "All models are wrong, but many are useful: learning a variable’s importance by studying an entire class of prediction models simultaneously.", arXiv:1801.01489v5, pp. 1-81

9

Ha M. S., Ahn H. C. (2019). "A machine learning-based vocational training dropout prediction model considering structured and unstructured data.", Journal of the Korea Contents Association, Vol. 19, No. 1, pp. 1-15

10

Hoskins J. C., Himmelblau D. M. (1992). "Process control via artificial neural networks and reinforcement learning.", Computers & Chemical Engineering, Vol. 16, No. 4, pp. 241-251

11

Kim B. S. (2008). "The appropriation and the use scheme of safety control cost for reducing severity rate of injury on construction.", Journal of the Korean Society of Civil Engineers, KSCE, Vol. 28, No. 3d, pp. 383-390 (in Korean)

12

Kim Y. C., Yoo W. S., Shin Y. S. (2017). "Application of artificial neural networks to prediction of construction safety accidents.", Journal of the Korean Society of Hazard Mitigation, Vol. 17, No. 1, pp. 7-14 (in Korean)

13

Korea Labor Institute (KLI) (2013). "Construction industry accident status analysis and policy direction", pp. 31 (in Korean).

14

Korea Occupational Safety and Health Agency (KOSHA) (2019). "2019 Large accident report book", pp. 9 (in Korean).

15

Lee C. H., Lee Y. J., Lee D. H. (2020). "A study of fine tuning pre-trained korean BERT for question answering performance development.", Journal of Information Technology Services, Vol. 19, No. 5, pp. 83-91 (in Korean)

16

Lee S. G. (2018). "A study on the trends of construction safety accident in unstructured text using topic modeling.", Journal of the Korea Academia-Industrial Cooperation Society, Vol. 19, No. 10, pp. 176-182 (in Korean)

17

Lim W. J., Kee J. H., Seong J. H., Park J. Y. (2019). "Development of accident cause analysis model for construction site.", Journal of the Korean Society of Safety, Vol. 34, No. 1, pp. 45-52 (in Korean)

18

Ministry of Employment and Labor (MOEL) (2020). "2019 Industrial accident analysis of current situation", pp. 32 (in Korean).

19

Park K. C., Kim H. K. (2021). "Analysis of seasonal importance of construction hazards using text mining.", KSCE Journal of Civil and Environmental Engineering Research, KSCE, Vol. 41, No. 3, pp. 305-316 (in Korean)

20

Raschka S. (2018). "Model evaluation, model selection, and algorithm selection in machine learning.", pp. 1-45

21

Rokach L. (2016). "Decision forest: Twenty years of research.", Information Fusion, Vol. 27, pp. 111-125

22

Shanker M., Hu M. Y., Hung M. S. (1996). "Effect of data standardization on neural network training.", The International Journal of Management Science, Vol. 24, No. 4, pp. 385-397

23

Sokolova M., Lapalme G. (2009). "A systematic analysis of performance measures for classification tasks.", Information Processing and Management, Vol. 45, No. 4, pp. 427-437

24

Sperandei S. (2014). "Understanding logistic regression analysis.", Biochemia Medica, Vol. 24, No. 1, pp. 12-18

25

Vaswani A., Shazeer N., Parmar N., Uszkoreit J., Jones L., Gomez A. N., Kaiser L., Polosukhin I. (2017). "Attention is all you need.", arXiv:1706.03762v5, pp. 1-15

26

Woo D. C., Moon H. S., Kwon S. B., Cho Y. H. (2019). "A deep learning application for automated feature extraction in transaction-based machine learning.", Journal of Information Technology Service, Vol. 18, No. 2, pp. 143-159

27

Yu Y. J., Kim T. H., Son K. Y., Lee K. H., Kim J. M. (2016). "Analysis of primary internal and external risk factors according to the accident causes in construction site.", Journal of the Korea Institute of Building Construction, Vol. 16, No. 6, pp. 519-527 (in Korean)

28

Zhang F., Fleyeh H., Wang X., Lu M. (2019). "Construction site accident analysis using text mining and natural language processing techniques.", Automation in Construction, Vol. 99, pp. 238-248

29

Zhang H. (2004). "The optimality of naive bayes", American Association for Artificial Intelligence, USA, pp. 1-6

JKSCEKSCE JOURNAL OF CIVIL AND
ENVIRONMENTAL ENGINEERING RESEARCH

Journal of the Korean Society of Civil Engineers

ISO Journal TitleKSCE J. Civ. Environ. Eng. Res.

Journal Search

Journal XML

References

JKSCEKSCE JOURNAL OF CIVIL AND ENVIRONMENTAL ENGINEERING RESEARCH