The paper presents two algorithms for efficient mining of partial periodic pattern with multiple timegranularity.
提出了两种在多粒度时间下的部分周期挖掘算法。
2
Experimectocl results show the proposed algorithms are efficient in mining partial periodic with multiple timegranularity when input is large.
实验表明了提出的算法在多粒度时间下挖掘部分周期是有效的。
3
The mechanism minimized the size of CRLs that relying parties had to download, the peak and average loads on CRL repositories, alleviated timegranularity and scalability.