Coselection of features and instances for unsupervised rare category analysis
暂无分享,去创建一个
[1] Charles X. Ling,et al. Data Mining for Direct Marketing: Problems and Solutions , 1998, KDD.
[2] Filippo Menczer,et al. Feature selection in unsupervised learning via evolutionary search , 2000, KDD '00.
[3] Edward Y. Chang,et al. Adaptive Feature-Space Conformal Transformation for Imbalanced-Data Learning , 2003, ICML.
[4] Sanjoy Dasgupta,et al. Hierarchical sampling for active learning , 2008, ICML '08.
[5] Zengyou He,et al. An Optimization Model for Outlier Detection in Categorical Data , 2005, ICIC.
[6] Stan Matwin,et al. Addressing the Curse of Imbalanced Training Sets: One-Sided Selection , 1997, ICML.
[7] Deng Cai,et al. Laplacian Score for Feature Selection , 2005, NIPS.
[8] Anil K. Jain,et al. Feature Selection in Mixture-Based Clustering , 2002, NIPS.
[9] Rajeev Rastogi,et al. Efficient algorithms for mining outliers from large data sets , 2000, SIGMOD 2000.
[10] Rohini K. Srihari,et al. Feature selection for text categorization on imbalanced data , 2004, SKDD.
[11] Seungjin Choi,et al. A Method of Initialization for Nonnegative Matrix Factorization , 2007, 2007 IEEE International Conference on Acoustics, Speech and Signal Processing - ICASSP '07.
[12] Stephen J. Wright,et al. Numerical Optimization , 2018, Fundamental Statistical Inference.
[13] Yang Wang,et al. Boosting for Learning Multiple Classes with Imbalanced Class Distribution , 2006, Sixth International Conference on Data Mining (ICDM'06).
[14] Kaj Madsen,et al. Optimization with constraints , 1999 .
[15] Carla E. Brodley,et al. Feature Subset Selection and Order Identification for Unsupervised Learning , 2000, ICML.
[16] Aidong Zhang,et al. FindOut: Finding Outliers in Very Large Datasets , 2002, Knowledge and Information Systems.
[17] Yishay Mansour,et al. Active Sampling for Multiple Output Identification , 2006, COLT.
[18] VARUN CHANDOLA,et al. Anomaly detection: A survey , 2009, CSUR.
[19] Kaizhu Huang,et al. Learning classifiers from imbalanced data based on biased minimax probability machine , 2004, CVPR 2004.
[20] Haimonti Dutta,et al. Distributed Top-K Outlier Detection from Astronomy Catalogs using the DEMAC System , 2007, SDM.
[21] Jingrui He,et al. Nearest-Neighbor-Based Active Learning for Rare Category Detection , 2007, NIPS.
[22] Andrew W. Moore,et al. Active Learning for Anomaly and Rare-Category Detection , 2004, NIPS.
[23] Huan Liu,et al. Feature selection for clustering - a filter solution , 2002, 2002 IEEE International Conference on Data Mining, 2002. Proceedings..
[24] Sushil Jajodia,et al. Detecting Novel Network Intrusions Using Bayes Estimators , 2001, SDM.
[25] Nitesh V. Chawla,et al. SMOTEBoost: Improving Prediction of the Minority Class in Boosting , 2003, PKDD.
[26] Kaj Madsen,et al. Optimization with Constraints, 2nd ed. , 2004 .
[27] Nitesh V. Chawla,et al. SMOTE: Synthetic Minority Over-sampling Technique , 2002, J. Artif. Intell. Res..
[28] C. A. Murthy,et al. Unsupervised Feature Selection Using Feature Similarity , 2002, IEEE Trans. Pattern Anal. Mach. Intell..
[29] Philip S. Yu,et al. Outlier detection for high dimensional data , 2001, SIGMOD '01.