支持向量机是基于VC维和统计学习理论理念的数据挖掘中的一种新方法。
Support Vector Machine is a new method based on the idea of VC dimension and Statistical Learning Theory in data mining.
该文针对网管告警数据库中时间序列存在的连续性、不确定性和模糊性问题，提出了一种基于时态关联规则挖掘告警库的新方法。
For the problems of continuity, uncertainty and fuzziness in the time-series of the network management alarm database, this pa-per puts forward a new mining method based on time-series rules.
通过对数据挖掘的新方法一支持向量机算法，进行研究，将其应用于轴承的寿命预测中。
By researching the data mining new arithmetic — Support Vector Machine, it is applied to the bearing life prediction.
通过对数据挖掘的新方法一支持向量机算法，进行研究，将其应用于轴承的寿命预测中。
By researching the data mining new arithmetic — Support Vector Machine, it is applied to the bearing life prediction.
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