Time Series Clustering for Anomaly Detection Using Competitive Neural Networks
Author:
Publisher
Springer Berlin Heidelberg
Link
http://link.springer.com/content/pdf/10.1007/978-3-642-02397-2_4
Reference13 articles.
1. Sarasamma, S.T., Zhu, Q.A.: Min-max hyperellipsoidal clustering for anomaly detection in network security. IEEE Transactions on Systems, Man and Cybernetics B-36(4), 887–901 (2006)
2. Barreto, G.A., Mota, J.C.M., Souza, L.G.M., Frota, R.A., Aguayo, L.: Condition monitoring of 3G cellular networks through competitive neural models. IEEE Transactions on Neural Networks 16(5), 1064–1075 (2005)
3. Lecture Notes in Computer Science;H.J. Lee,2005
4. Singh, S., Markou, M.: An approach to novelty detection applied to the classification of image regions. IEEE Transactions on Knowledge and Data Engineering 16(4), 1041–1047 (2004)
5. Zorriassatine, F., Al-Habaibeh, A., Parkin, R., Jackson, M., Coy, J.: Novelty detection for practical pattern recognition in condition monitoring of multivariate processes: a case study. International Journal of Advanced Manufacturing Technology 25(9-10), 954–963 (2005)
Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Sensor-Drift-Aware Time-Series Anomaly Detection for Climate Stations;2024 IEEE Conference on Artificial Intelligence (CAI);2024-06-25
2. Sensor Anomaly Detection using Self Features Organizing Maps and Hierarchical-Clustring for Water Quality Assessment;2022 International Conference of Advanced Technology in Electronic and Electrical Engineering (ICATEEE);2022-11-26
3. A Dynamic Stress-Scape Framework to Evaluate Potential Effects of Multiple Environmental Stressors on Gulf of Alaska Juvenile Pacific Cod;Frontiers in Marine Science;2021-05-12
4. Enhancing intrusion detection with feature selection and neural network;International Journal of Intelligent Systems;2021-02-24
5. A Comparative Analysis of a Novel Anomaly Detection Algorithm with Neural Networks;Deep Learning and Neural Networks;2020
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3