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Maritime Policy & Management
The flagship journal of international shipping and port research
Volume 48, 2021 - Issue 8
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Articles

Association rule mining for identification of port state control patterns in Malaysian ports

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Figures & data

Figure 1. Frequent itemsets generated from the Apriori Algorithm

Figure 1. Frequent itemsets generated from the Apriori Algorithm

Figure 2. Mining process for PSC inspection

Figure 2. Mining process for PSC inspection

Figure 3. Malaysian ports

Figure 3. Malaysian ports

Figure 4. Analysis approach for PSC inspection in Malaysian ports

Figure 4. Analysis approach for PSC inspection in Malaysian ports

Figure 5. User-defined threshold based on trial-and-error

Figure 5. User-defined threshold based on trial-and-error

Figure 6. Graph for overall analysis using Initial & Follow-up inspections dataset (all data)

Figure 6. Graph for overall analysis using Initial & Follow-up inspections dataset (all data)

Table 1. The rule for overall analysis using Initial & Follow-up inspections dataset (all data)

Table 2. Comparison of detention patterns in Malaysian ports

Table 3. Analysis of deficiency

Table 4. Patterns discovery at individual ports (Bintulu, Penang, Kuching, Port Kelang and Lahad Datu)