sepm meaning in Chinese

经济古生物学家和矿物学家学会

The performance of fsepm and sepm are compared
通过对fsepm和sepm进行对比试验，验证了fsepm的优越性。
Based on taken ' s theorem , a new tsdm frame for univariate time series named states evolution patterns mining ( sepm ) is proposed
基于状态空间重构技术提出了面向单一时序状态演化模式挖掘( sepm )的框架。
A series of new concepts are given and the mining process is investigated in details . then the sepm frame is extended for multivariate time series
给出了有关的一系列概念，并对挖掘过程进行了详细研究，然后，将sepm推广到多维时序。
A new concept of efficient support is proposed and its two liminal theorems are given and proved . the amelioration algorithm of fuzzy association rules discovery is raised based on efficient support . the uncertainty of the sepm process is noticed
提出了模糊模式有效支持度的概念，对其阈值的选取给出了有关的定理；基于有效支持度对模糊关联规则挖掘算法进行了改进；研究了sepm中的不确定性，提出了模糊状态演化模式挖掘( fsepm ) ，并对实现过程进行了详细研究，接下来引入有效支持度的概念对fsepm进行了优化。