107 citations · 109 across the 4 of their papers we have counts for
4 papers
Towards Correlated Sequential Rules
Lili Chen, Wensheng Gan, Chien-Ming Chen
The goal of high-utility sequential pattern mining (HUSPM) is to efficiently discover profitable or useful sequential patterns in a large number of sequences. However, simply being…
Anomaly Rule Detection in Sequence Data
Wensheng Gan, Lili Chen, Shicheng Wan +2
Analyzing sequence data usually leads to the discovery of interesting patterns and then anomaly detection. In recent years, numerous frameworks and methods have been proposed to di…
Flexible Pattern Discovery and Analysis
Chien-Ming Chen, Lili Chen, Wensheng Gan
Based on the analysis of the proportion of utility in the supporting transactions used in the field of data mining, high utility-occupancy pattern mining (HUOPM) has recently attra…
Discovering High Utility-Occupancy Patterns from Uncertain Data
Chien-Ming Chen, Lili Chen, Wensheng Gan +2
It is widely known that there is a lot of useful information hidden in big data, leading to a new saying that "data is money." Thus, it is prevalent for individuals to mine crucial…