Robust outlier detection in geo-spatial data based on LOLIMOT and KNN search
Author:
Publisher
Springer Science and Business Media LLC
Subject
General Earth and Planetary Sciences
Link
https://link.springer.com/content/pdf/10.1007/s12145-021-00610-9.pdf
Reference22 articles.
1. Arabelos D, Asteriadis G, Contadakis M, Zioutas G, Xu D, Zhang C, Zheng B (2001) The use of an outlier detecting method in time series of continuous daily measurements of underground water level and temperature in earthquake prediction investigation. Tectonophysics 338(3):315–323. https://doi.org/10.1016/S0040-1951(01)00086-5
2. Balta H, Velagic J, Bosschaerts W, Cubber GD, Siciliano B (2018) Fast statistical outlier removal based method for large 3D point clouds of outdoor environments. IFAC-PapersOnLine 51(22):348–353. https://doi.org/10.1016/j.ifacol.2018.11.566
3. Dang TT, Ngan HYT, Liu W (2015) Distance-based k-nearest neighbors outlier detection method in large-scale traffic data. 2015 IEEE international conference on digital signal processing (DSP), Singapore, pp 507–510. https://doi.org/10.1109/ICDSP.2015.7251924
4. Divya D, Babu SS (2016) Methods to detect different types of outliers. 2016 International Conference on Data Mining and Advanced Computing (SAPIENCE), Ernakulam, pp 23–28. https://doi.org/10.1109/SAPIENCE.2016.7684114
5. Domingues R, Filippone M, Michiardi P, Zouaoui J (2018) A comparative evaluation of outlier detection algorithms: experiments and analyses. Pattern Recogn 74:406–421. https://doi.org/10.1016/j.patcog.2017.09.037
Cited by 8 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. Examining innovative unsupervised learning techniques for automated characterization of complex groundwater systems;Results in Engineering;2024-09
2. Digital Visualization of Environmental Risk Indicators in the Territory of the Urban Industrial Zone;Sustainability;2024-06-18
3. Performance enhancement of deep neural network using fusional data assimilation and divide-and-conquer approach; case study: earthquake magnitude calculation;Neural Computing and Applications;2024-06-03
4. GeoNLU: Bridging the gap between natural language and spatial data infrastructures;Alexandria Engineering Journal;2024-01
5. Performance evaluation of machine learning techniques in predicting cumulative absolute velocity;Soil Dynamics and Earthquake Engineering;2023-11
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