activity
20222024
most citedMaximal co-occurrence nonoverlapping sequential rule mining

1 citations · 2 across the 9 of their papers we have counts for

collaborators

9 papers

cs.DB2024

Order-preserving pattern mining with forgetting mechanism

Yan Li, Chenyu Ma, Rong Gao +4

Order-preserving pattern (OPP) mining is a type of sequential pattern mining method in which a group of ranks of time series is used to represent an OPP. This approach can discover…

cs.DB2024

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…

cs.DB2023

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…

cs.DB2023

Top-k contrast order-preserving pattern mining

Youxi Wu, Yufei Meng, Yan Li +4

Recently, order-preserving pattern (OPP) mining, a new sequential pattern mining method, has been proposed to mine frequent relative orders in a time series. Although frequent rela…

cs.LG2023

Sequential three-way decisions with a single hidden layer feedforward neural network

Youxi Wu, Shuhui Cheng, Yan Li +2

The three-way decisions strategy has been employed to construct network topology in a single hidden layer feedforward neural network (SFNN). However, this model has a general perfo…

cs.DB2023★ 1 cited

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…

cs.DB2022★ 1 cited

Approximate Order-Preserving Pattern Mining for Time Series

Yan Li, Jin Liu, Yingchun Guo +2

The order-preserving pattern mining can be regarded as discovering frequent trends in time series, since the same order-preserving pattern has the same relative order which can rep…

cs.DB2022

Nonoverlapping (delta, gamma)-approximate pattern matching

Youxi Wu, Bojing Jian, Yan Li +2

Pattern matching can be used to calculate the support of patterns, and is a key issue in sequential pattern mining (or sequence pattern mining). Nonoverlapping pattern matching mea…

cs.DB2022

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,…