Context-aware Adaptive Outlier Detection in Trajectory Data
Paper
Paper/Presentation Title | Context-aware Adaptive Outlier Detection in Trajectory Data |
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Presentation Type | Paper |
Authors | Danda, Srinivas (Author), Zhang, Ji (Author), Tao, Xiaohui (Author), Chun-Wei, Jerry (Author) and Zhang, Wenbin (Author) |
Editors | Wu, Xintao, Jermaine, Chris, Xiong, Li, Hu, Xiaohua, Kotevska, Olivera, Lu, Siyuan, Xu, Weija, Aluru, Srinivas, Zhai, Chengxiang, Al-Masri, Eyhab, Chen, Zhiyuan and Saltz, Jeff |
Journal or Proceedings Title | Proceedings of the 8th IEEE International Conference on Big Data (2020) |
Number of Pages | 3 |
Year | 2020 |
Place of Publication | United States |
ISBN | 9781728162522 |
9781728162515 | |
Digital Object Identifier (DOI) | https://doi.org/10.1109/BigData50022.2020.9378046 |
Web Address (URL) of Paper | https://ieeexplore.ieee.org/document/9378046 |
Conference/Event | 8th IEEE International Conference on Big Data (2020) |
Event Details | 8th IEEE International Conference on Big Data (2020) Parent IEEE International Conference on Big Data Delivery In person Event Date 10 to end of 13 Dec 2020 Event Location Atlanta, United States |
Abstract | With the advent of data mining and business processes automation, outlier detection has evolved into a major problem attracting significant research in relation to several application domains. Further advances in Global Positioning system, tracking of anomalous events based on data enhances effective decision making and pro-active measures to overcome risks and avoid unwarranted outputs. Significant work has been done in trajectory outlier detection although no singular approach fits all the domains. By including position and collective outliers on the same visualizations will enhance understanding of an outlier behavior. As such, we have leveraged Hidden Markov Method for prediction-based point outlier detection and pattern mining to identify points or segments of outliers in trajectory data. |
Keywords | Context-aware, Adaptive Outlier Detection, Trajectory Data |
ANZSRC Field of Research 2020 | 460501. Data engineering and data science |
460502. Data mining and knowledge discovery | |
Public Notes | Files associated with this item cannot be displayed due to copyright restrictions. |
Byline Affiliations | School of Sciences |
Western Norway University of Applied Sciences, Norway | |
University of Maryland, United States | |
Institution of Origin | University of Southern Queensland |
https://research.usq.edu.au/item/q7540/context-aware-adaptive-outlier-detection-in-trajectory-data
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