article · ACM Inroads · 2020
Automated analysis with Apriori algorithm
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research-article Share on Automated analysis with Apriori algorithm: deriving guidance for working-level cybersecurity curricula Authors: Honggoo Kang Korea University School of Cybersecurity/Defense Security Support Command Korea University School of Cybersecurity/Defense Security Support CommandView Profile , Sangjin Lee Korea University School of Cybersecurity Korea University School of CybersecurityView Profile Authors Info & Claims ACM InroadsVolume 11Issue 4December 2020 pp 20–26https://doi.org/10.1145/3410471Online:12 November 2020Publication History 0citation62DownloadsMetricsTotal Citations0Total Downloads62Last 12 Months20Last 6 weeks6 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account Save to BinderSave to BinderCreate a New BinderNameCancelCreateExport CitationPublisher SiteGet Access
Cite this paper
Kang, H.-G., & Lee, S. (2020). Automated analysis with Apriori algorithm. ACM Inroads, 11(4), 20–26. https://doi.org/10.1145/3410471
Kang, Hong-Goo, and Sangjin Lee. “Automated analysis with Apriori algorithm.” ACM Inroads, vol. 11, no. 4, 2020, pp. 20–26, https://doi.org/10.1145/3410471.
Kang, Hong-Goo, and Sangjin Lee. 2020. “Automated analysis with Apriori algorithm.” ACM Inroads 11 (4): 20–26. https://doi.org/10.1145/3410471.
Kang, H.-G. and Lee, S. (2020) ‘Automated analysis with Apriori algorithm’, ACM Inroads, 11(4), pp. 20–26. Available at: https://doi.org/10.1145/3410471.
@article{kang2020automated,
title = {{Automated analysis with Apriori algorithm}},
author = {Kang, Hong-Goo and Lee, Sangjin},
journal = {ACM Inroads},
volume = {11},
number = {4},
pages = {20--26},
year = {2020},
doi = {10.1145/3410471}
}Made from the index record. Check names, capitalisation and page numbers against the paper. Need another style? AI for Research has over 10,000.