| index | Title |
| 1 | Clustering feature decision trees for semi-supervised classification from high-speed data streams Author(s):Wen-hua Xu, Zheng Qin, Yang Chang Clicked:10973 Download:5576 Cited:4 <Full Text> Journal of Zhejiang University Science C 2011 Vol.12 No.8 P.615-628 DOI:10.1631/jzus.C1000330 |
| 2 | An ensemble method for data stream classification in the presence of concept drift Author(s):Omid Abbaszadeh, Ali Amiri, Ali Reza Khanteymoori Clicked:9298 Download:4387 Cited:0 <Full Text> <PPT> 2676 Frontiers of Information Technology & Electronic Engineering 2015 Vol.16 No.12 P.1059-1068 DOI:10.1631/FITEE.1400398 |
| 3 | FAAD: an unsupervised fast and accurate anomaly detection method for a multi-dimensional sequence over data stream Author(s):Bin Li, Yi-jie Wang, Dong-sheng Yang, Yong-mou Li, Xing-kong Ma Clicked:8459 Download:4259 Cited:0 <Full Text> <PPT> 2487 Frontiers of Information Technology & Electronic Engineering 2019 Vol.20 No.3 P.388-404 DOI:10.1631/FITEE.1800038 |
| 4 | An efficient online histogram publication method for data streams with local differential privacy Author(s):Tao TAO, Funan ZHANG, Xiujun WANG, Xiao ZHENG, Xin ZHAO Clicked:2991 Download:3486 Cited:0 <Full Text> <PPT> 939 Frontiers of Information Technology & Electronic Engineering 2024 Vol.25 No.8 P.1096-1109 DOI:10.1631/FITEE.2300368 |
