Figure 1
Main data processing of employment education management.
Figure 2
Basic principle of K-means algorithm.
Figure 3
Mining process of complex itemsets in Apriori algorithm.
Figure 4
The specific mining process of MW Apriori algorithm.
Figure 5
Clustering outcomes of K-means algorithm before and after improvement.
Figure 6
Outcomes of misclassification rate of K-means algorithm before and after improvement.
Table 1
Experimental software and hardware configuration of three methods.
| SOFTWARE AND HARDWARE ENVIRONMENT CONFIGURATION | CONCRETE CONTENT |
|---|---|
| Operating system | Windows 10 |
| Development platform | IntelliJ IDEA |
| Internal storage | 4GB |
| Graphical tools | Matlab 2017b |
Figure 7
Running time outcomes of three methods in Mushroom dataset.
Figure 8
Comparison of data mining outcomes of three algorithms in employment education management system.
Figure 9
Comparison of the effectiveness of employment education management before and after using SAK-MWA algorithm.