1 citations · 1 across the 8 of their papers we have counts for
5 papers · 1 filter
Co-occurrence order-preserving pattern mining
Youxi Wu, Zhen Wang, Yan Li +4
Recently, order-preserving pattern (OPP) mining has been proposed to discover some patterns, which can be seen as trend changes in time series. Although existing OPP mining algorit…
Repetitive nonoverlapping sequential pattern mining
Meng Geng, Youxi Wu, Yan Li +4
Sequential pattern mining (SPM) is an important branch of knowledge discovery that aims to mine frequent sub-sequences (patterns) in a sequential database. Various SPM methods have…
Maximal co-occurrence nonoverlapping sequential rule mining
Yan Li, Chang Zhang, Jie Li +4
The aim of sequential pattern mining (SPM) is to discover potentially useful information from a given se-quence. Although various SPM methods have been investigated, most of these…
OPR-Miner: Order-preserving rule mining for time series
Youxi Wu, Xiaoqian Zhao, Yan Li +4
Discovering frequent trends in time series is a critical task in data mining. Recently, order-preserving matching was proposed to find all occurrences of a pattern in a time series…
One-off Negative Sequential Pattern Mining
Youxi Wu, Mingjie Chen, Yan Li +4
Negative sequential pattern mining (SPM) is an important SPM research topic. Unlike positive SPM, negative SPM can discover events that should have occurred but have not occurred,…