A Novel Association Rule Prediction Algorithm for Classification and Regression. - Ling Wang 014; Hui Zhu 005; RuiXia Huang (CDC, 2018)

Incremental Fuzzy Association Rule Mining for Classification and Regression. - Ling Wang 014; Qian Ma; Jianyao Meng (IEEE Access, 2019)

Incremental feature weighting for fuzzy feature selection. - Ling Wang 014; Jianyao Meng; RuiXia Huang; Hui Zhu 005; Kaixiang Peng (Fuzzy Sets Syst., 2019)

Incremental Local Distribution-Based Clustering Using Bayesian Adaptive Resonance Theory. - Ling Wang 014; Hui Zhu 005; Jianyao Meng; Wei He 001 (IEEE Trans. Neural Networks Learn. Syst., 2019)

Hybrid dynamic learning mechanism for multivariate time series segmentation. - Ling Wang 014; Kang Li; Qian Ma; Yanrong Lu (Stat. Anal. Data Min., 2020)

STFCM: Spatio-Temporal Clustering Algorithm Based on Improved FCM. - Ling Wang 014; Lingpeng Gui; Wei Liu 179; Naiwen Zhang (MLNLP, 2022)

Incremental fuzzy temporal association rule mining using fuzzy grid table. - Ling Wang 014; Lingpeng Gui; Hui Zhu (Appl. Intell., 2022)

Multivariate Time Series Co-evolution Shapelet Learning Method. - Ling Wang 014; Zhongkun Chu; Wei Liu 179 (MLNLP, 2023)

Unsupervised Feature Selection for Multivariate Time Series based on Improved FINCH. - Ling Wang 014; Wei Liu 179; Zhongkun Chu (MLNLP, 2023)

Multivariate spatiotemporal clustering based on spatial Toplitz inverse covariance with adaptive information aggregation. - Ling Wang 014; Gang Wang (Neurocomputing, 2025)

Adaptive time series segmentation algorithm based on trend turning points and state changes. - Ling Wang 014; Nan Zhou; Gang Wang (Multim. Tools Appl., 2025)