The Development of Data Warehouse to Support Data Mining Technique for Traffic Accident Prediction

Budiawan Wiwik; Singgih Saptadi; Ary Arvianto

doi:10.1051/e3sconf/20187312007

All issues

Volume 73 (2018)

E3S Web Conf., 73 (2018) 12007

References

Open Access

Issue		E3S Web Conf. Volume 73, 2018 The 3^rd International Conference on Energy, Environmental and Information System (ICENIS 2018)


Article Number		12007
Number of page(s)		4
Section		Health, Safety and Environment Information Systems
DOI		https://doi.org/10.1051/e3sconf/20187312007
Published online		21 December 2018

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[1] TMJ, “Traffic Report,” 2015. [Google Scholar]

[2] A. Pakgohar, R. S. Tabrizi, M. Khalili, and A. Esmaeli, “The role of human factor in incidence and severity of road crashes based on the CART and LR regression: A data mining approach,” Procedia Comput. Sci., vol. 3, pp. 764–769, 2011. [CrossRef] [Google Scholar]

[3] T. Beshah and S. Hill, “Mining Road Traffic Accident Data to Improve Safety: Role of Road-Related Factors on Accident Severity in Ethiopia.,” in The 2010 AAAI Spring Symposium, 2010. [Google Scholar]

[4] E. Prasetyo, Data Mining Concept and Application with Matlab (in Bahasa). Andy Offset, 2012. [Google Scholar]

[5] M. Sowmya and P. Ponmuthuramalingam, “Analyzing the Road Traffic and Accidents with Classification Techniques,” Int. J. Comput. Trends Technol., vol. 5, no. 4, 2013. [CrossRef] [Google Scholar]

[6] W. H. Inmon, Building the Data Warehouse. Wiley, 2002. [Google Scholar]

[7] G. Williams, M. Hegland, and S. Roberts, “Data Mining,” Australia, 1998. [Google Scholar]

[8] T. Connolly and C. Begg, Database Systems :A Practical Approach to Design, implementation and management. England: Addision Wesley, 2002. [Google Scholar]

[9] R. Kimball and M. Ross, The Kimball Group Reader: Rentlessly Practical Tools forData Warehousing and Business Intelligence. Wiley, 2010. [Google Scholar]

[10] R. R. Nelson, P. A. Todd, and B. H. Wixom, “Antecedents of Information and System Quality: An Empirical Examination Within the Context of Data Warehousing,” J. Manag. Inf. Syst., vol. 21, no. 4, pp. 199–235, 2014. [Google Scholar]

[11] M. Brady and J. Loonam, Exploring The Use of Entity-relationship Diagraming as a Technique to Support Grounded Theory Inquiry. Emerald Group, 2010. [Google Scholar]