zreferences.bib

@inproceedings{liu2008isolation,
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  author={Liu, Fei Tony and Ting, Kai Ming and Zhou, Zhi-Hua},
  booktitle={Data Mining, 2008. ICDM'08. Eighth IEEE International Conference on},
  pages={413--422},
  year={2008},
  organization={IEEE}
}

@article{liu2012isolation,
  title={Isolation-based anomaly detection},
  author={Liu, Fei Tony and Ting, Kai Ming and Zhou, Zhi-Hua},
  journal={ACM Transactions on Knowledge Discovery from Data (TKDD)},
  volume={6},
  number={1},
  pages={3},
  year={2012},
  publisher={ACM}
}

@inproceedings{kriegel2011interpreting,
  title={Interpreting and unifying outlier scores},
  author={Kriegel, Hans-Peter and Kroger, Peer and Schubert, Erich and Zimek, Arthur},
  booktitle={Proceedings of the 2011 SIAM International Conference on Data Mining},
  pages={13--24},
  year={2011},
  organization={SIAM}
}

@article{aggarwal2015theoretical,
  title={Theoretical foundations and algorithms for outlier ensembles},
  author={Aggarwal, Charu C and Sathe, Saket},
  journal={ACM SIGKDD Explorations Newsletter},
  volume={17},
  number={1},
  pages={24--47},
  year={2015},
  publisher={ACM}
}

@inproceedings{ramaswamy2000efficient,
  title={Efficient algorithms for mining outliers from large data sets},
  author={Ramaswamy, Sridhar and Rastogi, Rajeev and Shim, Kyuseok},
  booktitle={ACM Sigmod Record},
  volume={29},
  number={2},
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  year={2000},
  organization={ACM}
}

@inproceedings{angiulli2002fast,
  title={Fast outlier detection in high dimensional spaces},
  author={Angiulli, Fabrizio and Pizzuti, Clara},
  booktitle={European Conference on Principles of Data Mining and Knowledge Discovery},
  pages={15--27},
  year={2002},
  organization={Springer}
}

@inproceedings{kriegel2008angle,
  title={Angle-based outlier detection in high-dimensional data},
  author={Kriegel, Hans-Peter and Zimek, Arthur and others},
  booktitle={Proceedings of the 14th ACM SIGKDD international conference on Knowledge discovery and data mining},
  pages={444--452},
  year={2008},
  organization={ACM}
}

@inproceedings{lazarevic2005feature,
  title={Feature bagging for outlier detection},
  author={Lazarevic, Aleksandar and Kumar, Vipin},
  booktitle={Proceedings of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining},
  pages={157--166},
  year={2005},
  organization={ACM}
}

@article{goldstein2012histogram,
  title={Histogram-based outlier score (hbos): A fast unsupervised anomaly detection algorithm},
  author={Goldstein, Markus and Dengel, Andreas},
  journal={KI-2012: Poster and Demo Track},
  pages={59--63},
  year={2012},
  publisher={Citeseer}
}

@techreport{shyu2003novel,
  title={A novel anomaly detection scheme based on principal component classifier},
  author={Shyu, Mei-Ling and Chen, Shu-Ching and Sarinnapakorn, Kanoksri and Chang, LiWu},
  year={2003},
  institution={MIAMI UNIV CORAL GABLES FL DEPT OF ELECTRICAL AND COMPUTER ENGINEERING}
}

@inproceedings{aggarwal2015outlier,
  title={Outlier analysis},
  author={Aggarwal, Charu C},
  booktitle={Data mining},
  pages={75--79},
  year={2015},
  organization={Springer}
}

@inproceedings{breunig2000lof,
  title={LOF: identifying density-based local outliers},
  author={Breunig, Markus M and Kriegel, Hans-Peter and Ng, Raymond T and Sander, J{\"o}rg},
  booktitle={ACM sigmod record},
  volume={29},
  number={2},
  pages={93--104},
  year={2000},
  organization={ACM}
}


@inproceedings{zhao2018xgbod,
  title={XGBOD: Improving Supervised Outlier Detection with Unsupervised Representation Learning},
  author={Zhao, Yue and Hryniewicki, Maciej K},
  booktitle={International Joint Conference on Neural Networks (IJCNN)},
  year={2018},
  organization={IEEE}
}

@article{rousseeuw1999fast,
  title={A fast algorithm for the minimum covariance determinant estimator},
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  number={3},
  pages={212--223},
  year={1999},
  publisher={Taylor \& Francis Group}
}

@article{hardin2004outlier,
  title={Outlier detection in the multiple cluster setting using the minimum covariance determinant estimator},
  author={Hardin, Johanna and Rocke, David M},
  journal={Computational Statistics \& Data Analysis},
  volume={44},
  number={4},
  pages={625--638},
  year={2004},
  publisher={Elsevier}
}

@article{he2003discovering,
  title={Discovering cluster-based local outliers},
  author={He, Zengyou and Xu, Xiaofei and Deng, Shengchun},
  journal={Pattern Recognition Letters},
  volume={24},
  number={9-10},
  pages={1641--1650},
  year={2003},
  publisher={Elsevier}
}

@inproceedings{zhao2018dcso,
  title={DCSO: Dynamic Combination of Detector Scores for Outlier Ensembles},
  author={Yue Zhao and Maciej K. Hryniewicki},
  booktitle={ACM SIGKDD Workshop on Outlier Detection De-constructed (ODD v5.0)},
  year={2018},
  organization={ACM}
}

@techreport{janssens2012stochastic,
  title={Stochastic outlier selection},
  author={Janssens, JHM and Husz{\'a}r, Ferenc and Postma, EO and van den Herik, HJ},
  year={2012},
  institution={Technical report TiCC TR 2012-001, Tilburg University, Tilburg Center for Cognition and Communication, Tilburg, The Netherlands}
}

@inproceedings{papadimitriou2003loci,
  title={LOCI: Fast outlier detection using the local correlation integral},
  author={Papadimitriou, Spiros and Kitagawa, Hiroyuki and Gibbons, Phillip B and Faloutsos, Christos},
  booktitle={Data Engineering, 2003. Proceedings. 19th International Conference on},
  pages={315--326},
  year={2003},
  organization={IEEE}
}

@inproceedings{zhao2019lscp,
  title={{LSCP:} Locally Selective Combination in Parallel Outlier Ensembles},
  author={Zhao, Yue and Nasrullah, Zain and Hryniewicki, Maciej K and Li, Zheng},
  booktitle={Proceedings of the 2019 {SIAM} International Conference on Data Mining, {SDM} 2019},
  pages={585--593},
  month = {May},
  year={2019},
  address = {Calgary, Canada},
  organization={SIAM},
  url={https://doi.org/10.1137/1.9781611975673.66},
  doi={10.1137/1.9781611975673.66}
}

@article{liu2019generative,
  title={Generative adversarial active learning for unsupervised outlier detection},
  author={Liu, Yezheng and Li, Zhe and Zhou, Chong and Jiang, Yuanchun and Sun, Jianshan and Wang, Meng and He, Xiangnan},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2019},
  publisher={IEEE}
}

@article{zhao2019pyod,
  title={{PyOD}: A python toolbox for scalable outlier detection},
  author={Zhao, Yue and Nasrullah, Zain and Li, Zheng},
  journal={Journal of Machine Learning Research},
  volume={20},
  number={96},
  pages={1--7},
  year={2019}
}

@article{ramakrishnan2019anomaly,
  title={Anomaly Detection for an E-commerce Pricing System},
  author={Ramakrishnan, Jagdish and Shaabani, Elham and Li, Chao and Sustik, M{\'a}ty{\'a}s A},
  journal={arXiv preprint arXiv:1902.09566},
  year={2019}
}

@inproceedings{kalayci2018anomaly,
  title={Anomaly Detection in Wireless Sensor Networks Data by Using Histogram Based Outlier Score Method},
  author={Kalayc{\i}, {\.I}lker and Ercan, Tuncay},
  booktitle={2018 2nd International Symposium on Multidisciplinary Studies and Innovative Technologies (ISMSIT)},
  pages={1--6},
  year={2018},
  organization={IEEE}
}

@article{scholkopf2001estimating,
  title={Estimating the support of a high-dimensional distribution},
  author={Sch{\"o}lkopf, Bernhard and Platt, John C and Shawe-Taylor, John and Smola, Alex J and Williamson, Robert C},
  journal={Neural computation},
  volume={13},
  number={7},
  pages={1443--1471},
  year={2001},
  publisher={MIT Press}
}

@inproceedings{tang2002enhancing,
  title={Enhancing effectiveness of outlier detections for low density patterns},
  author={Tang, Jian and Chen, Zhixiang and Fu, Ada Wai-Chee and Cheung, David W},
  booktitle={Pacific-Asia Conference on Knowledge Discovery and Data Mining},
  pages={535--548},
  year={2002},
  organization={Springer}
}

@article{krishnan2019alphaclean,
  title={AlphaClean: Automatic Generation of Data Cleaning Pipelines},
  author={Krishnan, Sanjay and Wu, Eugene},
  journal={arXiv preprint arXiv:1904.11827},
  year={2019}
}

@inproceedings{kriegel2009outlier,
  title={Outlier detection in axis-parallel subspaces of high dimensional data},
  author={Kriegel, Hans-Peter and Kr{\"o}ger, Peer and Schubert, Erich and Zimek, Arthur},
  booktitle={Pacific-Asia Conference on Knowledge Discovery and Data Mining},
  pages={831--838},
  year={2009},
  organization={Springer}
}

@inproceedings{li2019mad,
  title={MAD-GAN: Multivariate anomaly detection for time series data with generative adversarial networks},
  author={Li, Dan and Chen, Dacheng and Jin, Baihong and Shi, Lei and Goh, Jonathan and Ng, See-Kiong},
  booktitle={International Conference on Artificial Neural Networks},
  pages={703--716},
  year={2019},
  organization={Springer}
}

@article{wang2019advae,
  title={adVAE: A self-adversarial variational autoencoder with Gaussian anomaly prior knowledge for anomaly detection},
  author={Wang, Xuhong and Du, Ying and Lin, Shijie and Cui, Ping and Shen, Yuntian and Yang, Yupu},
  journal={Knowledge-Based Systems},
  year={2019},
  publisher={Elsevier}
}

@inproceedings{gopalan2019pidforest,
  title={PIDForest: Anomaly Detection via Partial Identification},
  author={Gopalan, Parikshit and Sharan, Vatsal and Wieder, Udi},
  booktitle={Advances in Neural Information Processing Systems},
  pages={15783--15793},
  year={2019}
}

@inproceedings{arning1996linear,
  title={A Linear Method for Deviation Detection in Large Databases.},
  author={Arning, Andreas and Agrawal, Rakesh and Raghavan, Prabhakar},
  booktitle={KDD},
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  number={50},
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@article{kingma2013auto,
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  author={Kingma, Diederik P and Welling, Max},
  journal={arXiv preprint arXiv:1312.6114},
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@article{pevny2016loda,
  title={Loda: Lightweight on-line detector of anomalies},
  author={Pevn{\`y}, Tom{\'a}{\v{s}}},
  journal={Machine Learning},
  volume={102},
  number={2},
  pages={275--304},
  year={2016},
  publisher={Springer}
}


@article{burgess2018understanding,
  title={Understanding disentangling in beta-VAE},
  author={Burgess, Christopher P and Higgins, Irina and Pal, Arka and Matthey, Loic and Watters, Nick and Desjardins, Guillaume and Lerchner, Alexander},
  journal={arXiv preprint arXiv:1804.03599},
  year={2018}
}

@book{iglewicz1993detect,
  title={How to detect and handle outliers},
  author={Iglewicz, Boris and Hoaglin, David Caster},
  volume={16},
  year={1993},
  publisher={Asq Press}
}

@inproceedings{li2020copod,
  title={{COPOD:} Copula-Based Outlier Detection},
  author={Li, Zheng and Zhao, Yue and Botta, Nicola and Ionescu, Cezar and Hu, Xiyang},
  booktitle={IEEE International Conference on Data Mining (ICDM)},
  year={2020},
  organization={IEEE},
}

@article{almardeny2020novel,
  title={A Novel Outlier Detection Method for Multivariate Data},
  author={Almardeny, Yahya and Boujnah, Noureddine and Cleary, Frances},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2020},
  publisher={IEEE}
}

@article{zhao2021suod,
  title={SUOD: Accelerating Large-scale Unsupervised Heterogeneous Outlier Detection},
  author={Zhao, Yue and Hu, Xiyang and Cheng, Cheng and Wang, Cong and Wan, Changlin and Wang, Wen and Yang, Jianing and Bai, Haoping and Li, Zheng and Xiao, Cao and Wang, Yunlong and Qiao, Zhi and Sun, Jimeng and Akoglu, Leman},
  journal={Proceedings of Machine Learning and Systems},
  year={2021}
}

@article{ruff2018deepsvdd,
  title={Deep One-Class Classification},
  author={Ruff, Lukas and Vandermeulen, Robert and Görnitz, Nico and Deecke, Lucas and Siddiqui, Shoaib and Binder, Alexander and Müller, Emmanuel and Kloft, Marius},
  journal={International conference on machine learning},
  year={2018}
}

@article{birge2006many,
  title={How many bins should be put in a regular histogram},
  author={Birg{\'e}, Lucien and Rozenholc, Yves},
  journal={ESAIM: Probability and Statistics},
  volume={10},
  pages={24--45},
  year={2006},
  publisher={EDP Sciences}
}