Electric power communication network risk assessment system based on clustering and association rule mining
A risk assessment system and technology of power communication network, applied in the field of risk assessment of power communication network, can solve problems such as low mining efficiency and subjectivity of AHP, reduce expert authority and personal preference, improve mining efficiency, and improve accuracy and the effect of effectiveness
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[0074] Improve the search efficiency and tree structure of CAN-tree: through AP clustering on the database, delete infrequent index sets to reduce the number of nodes in the tree and add a hash-assisted item header table to CAN-Tree to improve search Conditional pattern base rate for an item. Such as image 3 As shown, it is a traditional CAN-tree tree building diagram.
[0075] For a T10I4D100K.dat data set with 100,000 transactions and 870 items, select different minimum support Supmin={5%, 1%, 0.5%} to adopt the traditional CAN-tree, FP-growth and improved CAN-tree algorithms respectively The association rule mining test is carried out, and the test comparison results are shown in Table 1.
[0076] Table 1 T10I4D100K dataset test comparison table
[0077]
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