摘要: When given multiple models it is often useful to combine them for improved reliability or performance over the individual models. Over years many outlier metrics and detection methods have been developed purposed of finding data incongruous with rest data. Inspired by successes supervised ensemble machine learning, proposed combining anomaly together. We investigate usefulness building ensembles purpose detection. find that currently, best our knowledge, there no great advantage in using anything more complicated than simple average all available scores.
ieeecomputersociety.org 参考文章(18)
Kanoksri Sarinnapakorn, Mei-Ling Shyu, Shu-Ching Chen, LiWu Chang, A Novel Anomaly Detection Scheme Based on Principal Component Classifier international conference on data mining. pp. 172- 179 ,(2003)
Shebuti Rayana, Leman Akoglu, Less is More: Building Selective Anomaly Ensembles ACM Transactions on Knowledge Discovery From Data. ,vol. 10, pp. 42- ,(2016) , 10.1145/2890508
Jian Tang, Zhixiang Chen, Ada Wai-chee Fu, David W. Cheung, Enhancing Effectiveness of Outlier Detections for Low Density Patterns knowledge discovery and data mining. pp. 535- 548 ,(2002) , 10.1007/3-540-47887-6_53
Lior Rokach, Ensemble Methods for Classifiers Data Mining and Knowledge Discovery Handbook. pp. 957- 980 ,(2005) , 10.1007/0-387-25465-X_45
Michael S. Kim, Robust, Scalable Anomaly Detection for Large Collections of Images international conference on social computing. pp. 1054- 1058 ,(2013) , 10.1109/SOCIALCOM.2013.170
Yuh-Jye Lee, Chien-Chung Chang, Chia-Huang Chao, Incremental Forward Feature Selection with Application to Microarray Gene Expression Data Journal of Biopharmaceutical Statistics. ,vol. 18, pp. 827- 840 ,(2008) , 10.1080/10543400802277868
Charu C. Aggarwal, Outlier ensembles: position paper Sigkdd Explorations. ,vol. 14, pp. 49- 58 ,(2013) , 10.1145/2481244.2481252
H. D. K. MOONESINGHE, PANG-NING TAN, OutRank: A GRAPH-BASED OUTLIER DETECTION FRAMEWORK USING RANDOM WALK International Journal on Artificial Intelligence Tools. ,vol. 17, pp. 19- 36 ,(2008) , 10.1142/S0218213008003753
U. Alon, N. Barkai, D. A. Notterman, K. Gish, S. Ybarra, D. Mack, A. J. Levine, Broad patterns of gene expression revealed by clustering analysis of tumor and normal colon tissues probed by oligonucleotide arrays Proceedings of the National Academy of Sciences of the United States of America. ,vol. 96, pp. 6745- 6750 ,(1999) , 10.1073/PNAS.96.12.6745
Arthur Zimek, Ricardo J.G.B. Campello, Jörg Sander, Ensembles for unsupervised outlier detection: challenges and research questions a position paper Sigkdd Explorations. ,vol. 15, pp. 11- 22 ,(2014) , 10.1145/2594473.2594476