MEOD: A Robust Multi-stage Ensemble Model Based on Rank Aggregation and Stacking for Outlier Detection

Zhengchao Jiang, Fan Zhang, Hao Xu, Li Tao, Zili Zhang. MEOD: A Robust Multi-stage Ensemble Model Based on Rank Aggregation and Stacking for Outlier Detection. In Gérard Memmi, Baijian Yang, Linghe Kong, Tianwei Zhang 0004, Meikang Qiu, editors, Knowledge Science, Engineering and Management - 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part III. Volume 13370 of Lecture Notes in Computer Science, pages 205-218, Springer, 2022. [doi]

@inproceedings{JiangZXTZ22,
  title = {MEOD: A Robust Multi-stage Ensemble Model Based on Rank Aggregation and Stacking for Outlier Detection},
  author = {Zhengchao Jiang and Fan Zhang and Hao Xu and Li Tao and Zili Zhang},
  year = {2022},
  doi = {10.1007/978-3-031-10989-8_17},
  url = {https://doi.org/10.1007/978-3-031-10989-8_17},
  researchr = {https://researchr.org/publication/JiangZXTZ22},
  cites = {0},
  citedby = {0},
  pages = {205-218},
  booktitle = {Knowledge Science, Engineering and Management - 15th International Conference, KSEM 2022, Singapore, August 6-8, 2022, Proceedings, Part III},
  editor = {Gérard Memmi and Baijian Yang and Linghe Kong and Tianwei Zhang 0004 and Meikang Qiu},
  volume = {13370},
  series = {Lecture Notes in Computer Science},
  publisher = {Springer},
  isbn = {978-3-031-10989-8},
}