Fig 1.
Enterprise knowledge flow model.
Fig 2.
Ontology structure of data mining.
Fig 3.
Construction process of ontology concept tree.
Fig 4.
The idea of constructing an enterprise management model.
Table 1.
Reliability and validity of the questionnaire.
Fig 5.
Comparison results of several algorithms on the number of transactions and support (In the figure, the suffix -T indicates the number of transactions, and the indicator is represented by a solid line; the suffix -S indicates the support, and the indicator is represented by a dotted line).
Fig 6.
Statistical results of knowledge management level.
Fig 7.
Correlation analysis of enterprise knowledge management level: (a) construction-related enterprises; (b) engineering cost consulting enterprises (In the figure, KA, KSh, KSt, KI represent knowledge acquisition, knowledge sharing, knowledge storage, and knowledge innovation).
Fig 8.
Knowledge management model of engineering cost consulting enterprises.