Classified Mining Method of Distributed Communication Network Database Based on Fuzzy Association Rules
When dealing with massive databases,traditional methods often find it difficult to ac-curately determine the correlation between databases when classifying and mining distributed communication network databases,resulting in a low number of classification mining.To ad-dress this issue,a distributed communication network database classification mining method based on fuzzy association rules is proposed.This method utilizes fuzzy association rules to select features,construct classification functions,calculate the dissimilarity of data categories,and de-sign classification mining rules,ultimately achieving classification mining of databases.The ex-perimental results show that this method has high classification efficiency when dealing with distributed communication network databases and is helpful for database management.
Fuzzy association rulesSelect featuresDistributed communication network data-baseClassification mining methods
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