Abstract

Detailed elaborations are presented for the idea on ID3 algorithm of Decision Tree. An improved method called Improved ID3 algorithm that can improve the speed of generation is brought forward owing to the disadvantages of ID3 algorithm. Moreover, based on Improved ID3 algorithm, data mining for breast-cancers is carried out for primarily predicting the relationship between recurrence and other attributes of breast cancer by making use of SQL Server 2005 Analysis Services. Results prove the effectiveness of Decision Tree in medical data mining which provide physicians with diagnostic assistance.

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