1 citations · 1 across the 6 of their papers we have counts for
6 papers
NSPG-Miner: Mining Repetitive Negative Sequential Patterns
Yan Li, Zhulin Wang, Jing Liu +4
Sequential pattern mining (SPM) with gap constraints (or repetitive SPM or tandem repeat discovery in bioinformatics) can find frequent repetitive subsequences satisfying gap const…
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…
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…
Deep Forest with Hashing Screening and Window Screening
Pengfei Ma, Youxi Wu, Yan Li +4
As a novel deep learning model, gcForest has been widely used in various applications. However, the current multi-grained scanning of gcForest produces many redundant feature vecto…
OPP-Miner: Order-preserving sequential pattern mining
Youxi Wu, Qian Hu, Yan Li +3
A time series is a collection of measurements in chronological order. Discovering patterns from time series is useful in many domains, such as stock analysis, disease detection, an…
DBC-Forest: Deep forest with binning confidence screening
Pengfei Ma, Youxi Wu, Yan Li +2
As a deep learning model, deep confidence screening forest (gcForestcs) has achieved great success in various applications. Compared with the traditional deep forest approach, gcFo…