A Method of Amalgamating Classification Rules Based on Distributed DataBase

Xuyang Wang, Ming Li
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Abstract

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.
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基于分布式数据库的分类规则合并方法
研究了基于粗糙集的分类规则挖掘技术。提出了一种从分布式数据库中合并分类规则的方法,该方法可以得到适合全局数据的所有规则。最后通过实验验证了这些规则的完备性。最后,提出了解决过度合并问题的精简策略。
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