Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data.

Hongzuo Xu|Yongjun Wang|Li Cheng|Yijie Wang|Xingkong Ma


Anthology ID:DBLP:conf/cikm/XuWCWM18
Volume:Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018
Year:2018
Venue:International Conference on Information and Knowledge Management (CIKM)
Publisher:ACM
Pages:17-26
URL:https://doi.org/10.1145/3269206.3271721
DOI:https://doi.org/10.1145/3269206.3271721
DBLP:conf/cikm/XuWCWM18
BibTeX:
@inproceedings{xu-2018-exploring, author = {Hongzuo Xu and Yongjun Wang and Li Cheng and Yijie Wang and Xingkong Ma}, editor = {Alfredo Cuzzocrea and James Allan and Norman W. Paton and Divesh Srivastava and Rakesh Agrawal and Andrei Z. Broder and Mohammed J. Zaki and K. Sel\c{c}uk Candan and Alexandros Labrinidis and Assaf Schuster and Haixun Wang}, title = {{Exploring a High-quality Outlying Feature Value Set for Noise-Resilient Outlier Detection in Categorical Data}}, booktitle = {{Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018}}, pages = {17--26}, publisher = {ACM}, year = {2018}, url = {https://doi.org/10.1145/3269206.3271721}, doi = {https://doi.org/10.1145/3269206.3271721} }