Detecting Outliers in Data with Correlated Measures.

Yu-Hsuan Kuo|Zhenhui Li|Daniel Kifer


Anthology ID:DBLP:conf/cikm/KuoLK18
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:287-296
URL:https://doi.org/10.1145/3269206.3271798
DOI:https://doi.org/10.1145/3269206.3271798
DBLP:conf/cikm/KuoLK18
BibTeX:
@inproceedings{kuo-2018-detecting, author = {Yu-Hsuan Kuo and Zhenhui Li and Daniel Kifer}, 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 = {{Detecting Outliers in Data with Correlated Measures}}, booktitle = {{Proceedings of the 27th ACM International Conference on Information and Knowledge Management, CIKM 2018, Torino, Italy, October 22-26, 2018}}, pages = {287--296}, publisher = {ACM}, year = {2018}, url = {https://doi.org/10.1145/3269206.3271798}, doi = {https://doi.org/10.1145/3269206.3271798} }