FCI-Outlier: An Efficient Frequent Closed Itemset-Based Outlier Detecting Approach on Data Stream. - Shangbo Hao; Saihua Cai; Ruizhi Sun; Sicong Li (ChineseCSCW, 2018)

K-DBSCAN: an efficient density-based clustering algorithm supports parallel computing. - Chao Deng 001; Jinwei Song; Saihua Cai; Ruizhi Sun; Yinxue Shi; Shangbo Hao (Int. J. Simul. Process. Model., 2018)

Mining recent maximal frequent itemsets over data streams with sliding window. - Saihua Cai; Shangbo Hao; Ruizhi Sun; Gang Wu (Int. Arab J. Inf. Technol., 2019)

An Efficient Outlier Detection Approach Over Uncertain Data Stream Based on Frequent Itemset Mining. - Shangbo Hao; Saihua Cai; Ruizhi Sun; Sicong Li (Inf. Technol. Control., 2019)

UWFP-Outlier: an efficient frequent-pattern-based outlier detection method for uncertain weighted data streams. - Saihua Cai; Li Li 059; Qian Li 042; Sicong Li; Shangbo Hao; Ruizhi Sun (Appl. Intell., 2020)

MiFI-Outlier: Minimal infrequent itemset-based outlier detection approach on uncertain data stream. - Saihua Cai; Sicong Li; Gang Yuan; Shangbo Hao; Ruizhi Sun (Knowl. Based Syst., 2020)

Minimal weighted infrequent itemset mining-based outlier detection approach on uncertain data stream. - Saihua Cai; Ruizhi Sun; Shangbo Hao; Sicong Li; Gang Yuan (Neural Comput. Appl., 2020)