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Medical Data Mining Based on Association Rules

机译:基于关联规则的医学数据挖掘

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Detailed elaborations are presented for the idea on two-step frequent itemsets Apriori algorithm of Association Rules. An improved method called Improved Apriori algorithm is brought forward owing to the disadvantages of Apriori algorithm. Moreover, based on Improved Apriori algorithm, data mining for breast-cancers is carried out for the relationship between breast-cancer recurrences and other attributes by making use of SQL Server 2005 Analysis Services. Results show the availability of Association Rules in medical data mining.
机译:针对关联规则的两步频繁项目集Apriori算法,对该思想进行了详细的阐述。针对Apriori算法的缺点,提出了一种改进的改进的Apriori算法。此外,基于改进的Apriori算法,利用SQL Server 2005 Analysis Services对乳腺癌复发率与其他属性之间的关系进行了乳腺癌数据挖掘。结果显示关联规则在医学数据挖掘中的可用性。

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