Active Anomaly Detection Technology Based on Ensemble Learning.
W. Liu, S. Lei, L. Peng, J. Feng, S. Pan, and M. Gao. ICPCSEE (1), volume 1628 of Communications in Computer and Information Science, page 53-66. Springer, (2022)
@inproceedings{conf/icycsee/LiuLPFPG22,
added-at = {2022-10-27T00:00:00.000+0200},
author = {Liu, Weiwei and Lei, Shuya and Peng, Liangying and Feng, Jun and Pan, Sichen and Gao, Meng},
biburl = {https://www.bibsonomy.org/bibtex/296f6ae489905b76ae4f4af5f803a6252/dblp},
booktitle = {ICPCSEE (1)},
crossref = {conf/icycsee/2022-1},
editor = {Wang, Yang and Zhu, Guobin and Han, Qilong and Wang, Hongzhi and Song, Xianhua and Lu, Zeguang},
ee = {https://doi.org/10.1007/978-981-19-5194-7_5},
interhash = {850553aa036ceb61ab8ca019f1baa2b1},
intrahash = {96f6ae489905b76ae4f4af5f803a6252},
isbn = {978-981-19-5194-7},
keywords = {dblp},
pages = {53-66},
publisher = {Springer},
series = {Communications in Computer and Information Science},
timestamp = {2024-04-10T01:34:31.000+0200},
title = {Active Anomaly Detection Technology Based on Ensemble Learning.},
url = {http://dblp.uni-trier.de/db/conf/icycsee/icpcsee2022-1.html#LiuLPFPG22},
volume = 1628,
year = 2022
}