An Optimized Computational Framework for Isolation Forest
暂无分享,去创建一个
[1] Ke Zhang,et al. A New Local Distance-Based Outlier Detection Approach for Scattered Real-World Data , 2009, PAKDD.
[2] Zhi-Hua Zhou,et al. On Detecting Clustered Anomalies Using SCiForest , 2010, ECML/PKDD.
[3] Jae-Gil Lee,et al. Trajectory Outlier Detection: A Partition-and-Detect Framework , 2008, 2008 IEEE 24th International Conference on Data Engineering.
[4] Fei Tony Liu,et al. Isolation-Based Anomaly Detection , 2012, TKDD.
[5] Hans-Peter Kriegel,et al. LOF: identifying density-based local outliers , 2000, SIGMOD 2000.
[6] Chang-Tien Lu,et al. Outlier Detection , 2008, Encyclopedia of GIS.
[7] Aleksandar Lazarevic,et al. Incremental Local Outlier Detection for Data Streams , 2007, 2007 IEEE Symposium on Computational Intelligence and Data Mining.
[8] Vipin Kumar,et al. Anomaly Detection for Discrete Sequences: A Survey , 2012, IEEE Transactions on Knowledge and Data Engineering.
[9] Hans-Peter Kriegel,et al. Outlier Detection in Axis-Parallel Subspaces of High Dimensional Data , 2009, PAKDD.
[10] Clara Pizzuti,et al. Fast Outlier Detection in High Dimensional Spaces , 2002, PKDD.
[11] Hans-Peter Kriegel,et al. Local outlier detection reconsidered: a generalized view on locality with applications to spatial, video, and network outlier detection , 2012, Data Mining and Knowledge Discovery.
[12] Arthur Zimek,et al. On the evaluation of unsupervised outlier detection: measures, datasets, and an empirical study , 2016, Data Mining and Knowledge Discovery.
[13] Stefan Berchtold,et al. Efficient Biased Sampling for Approximate Clustering and Outlier Detection in Large Data Sets , 2003, IEEE Trans. Knowl. Data Eng..
[14] Jayanta Basak,et al. Interpretable hierarchical clustering by constructing an unsupervised decision tree , 2005, IEEE Transactions on Knowledge and Data Engineering.
[15] Anthony K. H. Tung,et al. Ranking Outliers Using Symmetric Neighborhood Relationship , 2006, PAKDD.
[16] Hans-Peter Kriegel,et al. LOF: identifying density-based local outliers , 2000, SIGMOD '00.
[17] Raymond T. Ng,et al. A Unified Notion of Outliers: Properties and Computation , 1997, KDD.
[18] Yizhou Sun,et al. On community outliers and their efficient detection in information networks , 2010, KDD.
[19] Christos Faloutsos,et al. LOCI: fast outlier detection using the local correlation integral , 2003, Proceedings 19th International Conference on Data Engineering (Cat. No.03CH37405).
[20] Klemens Böhm,et al. HiCS: High Contrast Subspaces for Density-Based Outlier Ranking , 2012, 2012 IEEE 28th International Conference on Data Engineering.
[21] Vivekanand Gopalkrishnan,et al. Efficient Pruning Schemes for Distance-Based Outlier Detection , 2009, ECML/PKDD.
[22] Hans-Peter Kriegel,et al. A survey on unsupervised outlier detection in high‐dimensional numerical data , 2012, Stat. Anal. Data Min..
[23] Sudipto Guha,et al. Robust Random Cut Forest Based Anomaly Detection on Streams , 2016, ICML.
[24] Xiaogang Su,et al. Outlier detection , 2011, WIREs Data Mining Knowl. Discov..