Nov 12, 2020 · Automated analysis with Apriori algorithm: deriving guidance for working-level cybersecurity curricula. Authors: Honggoo Kang and Sangjin Lee ...
This research aims to propose a better method for automatically deriving curricular guidance. We analyzed the representative workforce framework with the.
The Apriori algorithm is used to screen the indexes for the initial student's learning state evaluation index system in online education (Donlan and Byrne ...
Nov 12, 2020 · This research aims to propose a better method for automatically deriving curricular guidance. We analyzed the representative workforce ...
Missing: working- level
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Nov 12, 2020 · This research aims to propose a better method for automatically deriving curricular guidance. We analyzed the representative workforce ...
Missing: working- level
Forensic analysis of SQL server transaction log ... Automated analysis with Apriori algorithm: deriving guidance for working-level cybersecurity curricula.
Mar 30, 2022 · This paper explores a dataset from 18 cybersecurity training sessions using data mining and machine learning techniques. We employed pattern ...
Automated analysis with Apriori algorithm: deriving guidance for working-level cybersecurity curricula. H Kang, S Lee. ACM Inroads 11 (4), 20-26, 2020. 5, 2020.
Jan 4, 2022 · The document discusses the Apriori algorithm for frequent itemset mining. It explains that the Apriori algorithm uses an iterative approach ...
Jan 23, 2024 · The Apriori algorithm greatly helps to increase the effectiveness of level-wise production of frequent itemsets. To understand the workings of ...
Missing: Automated deriving curricula.