A Method of Amalgamating Classification Rules Based on Distributed DataBase

This paper inquired into the technology of mining classification rules based on rough sets. Proposed a method of amalgamating classification rules from distributed database, by which all rules fitting for global data can be gotten. Then, experiment results were given to verify the completeness of these rules. At last, pruning strategy proposed for resolving the problem of over amalgamation.