Status Set Sequential Pattern Mining Considering Time Windows and Periodic Analysis of Patterns
The traditional sequential pattern mining method is carried out considering the whole time period and often ignores the sequential patterns that only occur in local time windows, as well as possible periodicity. Therefore, in order to overcome the limitations of traditional methods, this paper propo...
Main Authors: | Shenghan Zhou, Houxiang Liu, Bang Chen, Wenkui Hou, Xinpeng Ji, Yue Zhang, Wenbing Chang, Yiyong Xiao |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2021-06-01
|
Series: | Entropy |
Subjects: | |
Online Access: | https://www.mdpi.com/1099-4300/23/6/738 |
Similar Items
-
Sequential Pattern Mining Algorithm Based on Text Data: Taking the Fault Text Records as an Example
by: Xinglong Yuan, et al.
Published: (2018-11-01) -
Efficient High Utility Negative Sequential Patterns Mining in Smart Campus
by: Tiantian Xu, et al.
Published: (2018-01-01) -
Analysis of Sequential Book Loan Data Pattern Using Generalized Sequential Pattern (GSP) Algorithm
by: Tri Astuti, et al.
Published: (2019-03-01) -
AN ALGORITHM FOR GENERATING SINGLE DIMENSIONAL FUZZY ASSOCIATION RULE MINING
by: Rolly Intan
Published: (2006-01-01) -
Finding frequent trajectories by clustering and sequential pattern mining
by: Arthur A. Shaw, et al.
Published: (2014-12-01)