Radar: Residual Analysis for Anomaly Detection in Attributed Networks
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Huan Liu | Jundong Li | Xia Hu | Harsh Dani | Huan Liu | Xia Hu | Jundong Li | Harsh Dani
[1] Steven C. H. Hoi,et al. Malicious URL Detection using Machine Learning: A Survey , 2017, ArXiv.
[2] Yizhou Sun,et al. On community outliers and their efficient detection in information networks , 2010, KDD.
[3] Huan Liu,et al. Robust Unsupervised Feature Selection on Networked Data , 2016, SDM.
[4] Klemens Böhm,et al. Local context selection for outlier ranking in graphs with multiple numeric node attributes , 2014, SSDBM '14.
[5] Changjun Jiang,et al. Modeling Document Networks with Tree-Averaged Copula Regularization , 2017, WSDM.
[6] Emmanuel Müller,et al. Focused clustering and outlier detection in large attributed graphs , 2014, KDD.
[7] Leman Akoglu,et al. Scalable Anomaly Ranking of Attributed Neighborhoods , 2016, SDM.
[8] Klemens Böhm,et al. Statistical Selection of Congruent Subspaces for Mining Attributed Graphs , 2013, 2013 IEEE 13th International Conference on Data Mining.
[9] Huan Liu,et al. Gleaning Wisdom from the Past: Early Detection of Emerging Rumors in Social Media , 2017, SDM.
[10] Klemens Böhm,et al. Ranking outlier nodes in subspaces of attributed graphs , 2013, 2013 IEEE 29th International Conference on Data Engineering Workshops (ICDEW).
[11] Huan Liu,et al. Toward Personalized Relational Learning , 2017, SDM.
[12] Danai Koutra,et al. Graph based anomaly detection and description: a survey , 2014, Data Mining and Knowledge Discovery.
[13] Hans-Peter Kriegel,et al. LOF: identifying density-based local outliers , 2000, SIGMOD '00.
[14] Xiao Huang,et al. Accelerated Local Anomaly Detection via Resolving Attributed Networks , 2017, IJCAI.
[15] Xiao Huang,et al. Label Informed Attributed Network Embedding , 2017, WSDM.
[16] Huan Liu,et al. Toward Time-Evolving Feature Selection on Dynamic Networks , 2016, 2016 IEEE 16th International Conference on Data Mining (ICDM).
[17] Jinbo Bi,et al. Active learning via transductive experimental design , 2006, ICML.
[18] Huan Liu,et al. CoSelect: Feature Selection with Instance Selection for Social Media Data , 2013, SDM.
[19] Kwang-Ho Ro,et al. Outlier detection for high-dimensional data , 2015 .
[20] Charu C. Aggarwal,et al. Outlier Analysis , 2013, Springer New York.
[21] Huan Liu,et al. Multi-Label Informed Feature Selection , 2016, IJCAI.
[22] VARUN CHANDOLA,et al. Anomaly detection: A survey , 2009, CSUR.
[23] Jingrui He,et al. On the Connectivity of Multi-layered Networks: Models, Measures and Optimal Control , 2015, 2015 IEEE International Conference on Data Mining.
[24] Liu Huan,et al. Toward Time-Evolving Feature Selection on Dynamic Networks , 2016 .
[25] Yiyuan She,et al. Outlier Detection Using Nonconvex Penalized Regression , 2010, ArXiv.
[26] M. McPherson,et al. Birds of a Feather: Homophily in Social Networks , 2001 .
[27] Xiaowei Xu,et al. SCAN: a structural clustering algorithm for networks , 2007, KDD '07.
[28] Jingrui He,et al. MUVIR: Multi-View Rare Category Detection , 2015, IJCAI.
[29] Diane J. Cook,et al. Graph-based anomaly detection , 2003, KDD '03.
[30] Vipin Kumar,et al. Feature bagging for outlier detection , 2005, KDD '05.
[31] Xiao Huang,et al. Accelerated Attributed Network Embedding , 2017, SDM.
[32] Feiping Nie,et al. Efficient and Robust Feature Selection via Joint ℓ2, 1-Norms Minimization , 2010, NIPS.
[33] Hanghang Tong,et al. Non-Negative Residual Matrix Factorization with Application to Graph Anomaly Detection , 2011, SDM.
[34] Xin Wang,et al. Learning Personalized Preference of Strong and Weak Ties for Social Recommendation , 2017, WWW.