Early classification of time series based on trend segmentation and optimization cost function
Author:
Funder
fundamental research funds for the central universities
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02788-3.pdf
Reference22 articles.
1. Aburomman AA, Reaz MBI (2017) A survey of intrusion detection systems based on ensemble and hybrid classifiers. Comput Secur 65:135–152
2. Ghalwash MF, Radosavljevic V, Obradovic Z (2014) Utilizing temporal patterns for estimating uncertainty in interpretable early decision making. In: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, pp 402–411
3. Ghalwash MF, Ramljak D, Obradović Z (2012) Early classification of multivariate time series using a hybrid hmm/svm model. In: 2012 IEEE International conference on bioinformatics and biomedicine. IEEE, pp 1–6
4. Grabocka J, Schilling N, Wistuba M, Schmidt-Thieme L (2014) Learning time-series shapelets. In: Proceedings of the 20th ACM SIGKDD international conference on Knowledge discovery and data mining, pp 392–401
5. Haishuai W, Qin Z, Jia W, Shirui P, Yixin C (2019) Time series feature learning with labeled and unlabeled data - sciencedirect. Pattern Recognit 89:55–66
Cited by 7 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. Conditional Generative Adversarial Network for Early Classification of Longitudinal Datasets Using an Imputation Approach;ACM Transactions on Knowledge Discovery from Data;2024-03-26
2. Memory Shapelet Learning for Early Classification of Streaming Time Series;IEEE Transactions on Cybernetics;2024
3. Early classification of time series data: overview, challenges, and opportunities;Data Fusion Techniques and Applications for Smart Healthcare;2024
4. Multivariate time-series classification using memory and attention for long and short-term dependence$$^{\star }$$;Applied Intelligence;2023-11-03
5. CALIMERA: A new early time series classification method;Information Processing & Management;2023-09
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