Genetic Algorithm-Based Association Rule Mining Approach Towards Rule Generation of Occupational Accidents-Reference-Cited by-同舟云学术

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Genetic Algorithm-Based Association Rule Mining Approach Towards Rule Generation of Occupational Accidents

Published:2017 Issue: Volume: Page:517-530
ISSN:1865-0929
Container-title:Communications in Computer and Information Science
language:
Short-container-title:

Author:

Sarkar Sobhan,Lohani Ankit,Maiti Jhareswar

Publisher

Springer Singapore

Link

http://link.springer.com/content/pdf/10.1007/978-981-10-6430-2_40

Reference18 articles.

1. Bedard, M., Guyatt, G.H., Stones, M.J., Hirdes, J.P.: The independent contribution of driver, crash, and vehicle characteristics to driver fatalities. Accid. Anal. Prev. 34(6), 717–727 (2002)

2. Li, Y., Bai, Y.: Development of crash-severity-index models for the measurement of work zone risk levels Accid. Anal. Prev. 40(5), 1724–1731 (2008)

3. Wong, S.C., Sze, N.N., Li, Y.C.: Contributory factors to traffic crashes at signalized intersections in Hong Kong Accid. Anal. Prev. 39(6), 1107–1113 (2007)

4. Chang, L., Wang, H.: Analysis of traffic injury severity: an application of nonparametric classification tree techniques. Accid. Anal. Prev. 34(5), 1019–1027 (2006)

5. Weng, J., Meng, Q., Wang, D.Z.: Tree-Based logistic regression approach for work zone casualty risk assessment. Risk Anal. 33(3), 493–504 (2013)

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