Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Jump to bottom

Update README.rst #46

Merged
merged 2 commits into from
Jul 4, 2024
Merged

Update README.rst #46

Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
60cf166
Update README.rst
ZhongLIFR Jul 4, 2024
313e348
Merge branch 'master' into ZhongLIFR-patch-1
yzhao062 Jul 4, 2024
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
6 changes: 6 additions & 0 deletions README.rst
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -432,6 +432,8 @@ Contextual outlier interpretation
Mining multidimensional contextual outliers from categorical relational data IDA 2015 [#Tang2015Mining]_ `[PDF] <http://www.cs.sfu.ca/~jpei/publications/Contextual%20outliers.pdf>`_
Discriminative features for identifying and interpreting outliers ICDE 2014 [#Dang2014Discriminative]_ `[PDF] <http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.706.5744&rep=rep1&type=pdf>`_
Sequential Feature Explanations for Anomaly Detection TKDD 2019 [#Siddiqui2019Sequential]_ `[HTML] <https://dl.acm.org/citation.cfm?id=3230666>`_
A Survey on Explainable Anomaly Detection TKDD 2023 [#Li2023XAD]_ `[HTML] <https://dl.acm.org/doi/10.1145/3609333>`_
Explainable Contextual Anomaly Detection Using Quantile Regression Forests DMKD 2023 [#Li2023QCAD]_ `[HTML] <https://link.springer.com/article/10.1007/s10618-023-00967-z>`_
Beyond Outlier Detection: Outlier Interpretation by Attention-Guided Triplet Deviation Network WWW 2021 [#Xu2021Beyond]_ `[PDF] <https://jiansonglei.github.io/files/21WWW.pdf>`_
================================================================================================= ============================ ===== ============================ ==========================================================================================================================================================================

Expand Down Expand Up @@ -724,6 +726,10 @@ References

.. [#Li2021ECOD] Li, Z., Zhao, Y., Hu, X., Botta, N., Ionescu, C. and Chen, H. G. ECOD: Unsupervised Outlier Detection Using Empirical Cumulative Distribution Functions. *IEEE Transactions on Knowledge and Data Engineering (TKDE)*, 2022.

.. [#Li2023XAD] Li, Z., Zhu, Y. and Van Leeuwen, M., 2023. A survey on explainable anomaly detection. *ACM Transactions on Knowledge Discovery from Data*, 18(1), pp.1-54.

.. [#Li2023QCAD] Li, Z. and Van Leeuwen, M., 2023. Explainable contextual anomaly detection using quantile regression forests. *Data Mining and Knowledge Discovery*, 37(6), pp.2517-2563.

.. [#Liu2008Isolation] Liu, F.T., Ting, K.M. and Zhou, Z.H., 2008, December. Isolation forest. In *International Conference on Data Mining*\ , pp. 413-422. IEEE.

.. [#Liu2018Clustering] Liu, H., Li, J., Wu, Y. and Fu, Y., 2019. Clustering with outlier removal. *IEEE transactions on knowledge and data engineering*.
Expand Down