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A Latent Factor Analysis-Based Approach to Online Sparse Streaming Feature Selection 期刊论文
IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS, 2021, 页码: 15
作者:  Wu, Di;  He, Yi;  Luo, Xin;  Zhou, MengChu
收藏  |  浏览/下载：41/0  |  提交时间：2022/08/22
Big data  computational intelligence  latent factor analysis (LFA)  missing data  online algorithm  online feature selection  sparse streaming feature  streaming feature  
Online learning from capricious data streams: A generative approach 会议论文
28th International Joint Conference on Artificial Intelligence, IJCAI 2019, Macao, China, August 10, 2019 - August 16, 2019
作者:  He, Yi;  Wu, Baijun;  Wu, Di;  Beyazit, Ege;  Chen, Sheng;  Wu, Xindong
收藏  |  浏览/下载：240/0  |  提交时间：2020/02/18
Fat node leading tree for data stream clustering with density peaks 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2017, 卷号: 120, 页码: 99-117
作者:  Xu, Ji;  Wang, Guoyin;  Li, Tianrui;  Deng, Weihui;  Gou, Guanglei
Adobe PDF(3853Kb)  |  收藏  |  浏览/下载：98/0  |  提交时间：2018/03/15
Data Stream Clustering  Density Peaks  Fat Node Leading Tree  Change Point  
基于粒计算的大数据处理 期刊论文
计算机学报, 2015, 卷号: 38, 期号: 8, 页码: 1497-1517
作者:  徐计;  王国胤;  于洪
Adobe PDF(1665Kb)  |  收藏  |  浏览/下载：100/0  |  提交时间：2018/03/16
A divide-and-conquer method based ensemble regression model for water quality prediction 会议论文
8th International Conference on Rough Sets and Knowledge Technology, RSKT 2013, Halifax, NS, Canada, October 11, 2013 - October 14, 2013
作者:  Zou, Xuan;  Wang, Guoyin;  Gou, Guanglei;  Li, Hong
Adobe PDF(207Kb)  |  收藏  |  浏览/下载：71/0  |  提交时间：2018/03/16