3 citations · 4 across the 6 of their papers we have counts for
6 papers · 1 filter
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…
TALENT: Targeted Mining of Non-overlapping Sequential Patterns
Zefeng Chen, Wensheng Gan, Gengsen Huang +3
With the widespread application of efficient pattern mining algorithms, sequential patterns that allow gap constraints have become a valuable tool to discover knowledge from biolog…
Towards Top- Non-Overlapping Sequential Patterns
Zefeng Chen, Wensheng Gan, Gengsen Huang +2
Sequential pattern mining (SPM) has excellent prospects and application spaces and has been widely used in different fields. The non-overlapping SPM, as one of the data mining tech…
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,…