目前，支持向量机在模式识别、函数逼近、数据挖掘和文本自动分类中均有很好的应用。

Recently, Support Vector Machine is well applied in pattern recognition, function approximate, data mining and text auto categorization.

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目的：探讨带先验知识的支持向量机（P-SVM）数据挖掘算法在中医证候信息自动分类中的应用。

The paper explores possible applications of Prior knowledge Support Vector Machine (P-SVM) based data mining algorithm in an automatic TCM syndrome classification system.

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支持向量机作为数据挖掘的一种新方法，在许多领域得到了广泛的应用。

Support vector machine is a new technology of data mining, and it has been successfully applied to many fields.

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