FRIEND: Feature selection on inconsistent data
暂无分享,去创建一个
Hongzhi Wang | Jianzhong Li | Tao He | Hong Gao | Zhixin Qi | Jianzhong Li | Hong Gao | Hongzhi Wang | Zhixin Qi | Tao He
[1] G. W. Milligan,et al. A study of standardization of variables in cluster analysis , 1988 .
[2] Rossitza Setchi,et al. Feature selection using Joint Mutual Information Maximisation , 2015, Expert Syst. Appl..
[3] Wenfei Fan,et al. Foundations of Data Quality Management , 2012, Foundations of Data Quality Management.
[4] Naftali Tishby,et al. Margin based feature selection - theory and algorithms , 2004, ICML.
[5] Ferat Sahin,et al. A survey on feature selection methods , 2014, Comput. Electr. Eng..
[6] Rajeev Rastogi,et al. A cost-based model and effective heuristic for repairing constraints by value modification , 2005, SIGMOD '05.
[7] Jugal K. Kalita,et al. MIFS-ND: A mutual information-based feature selection method , 2014, Expert Syst. Appl..
[8] Wenfei Fan,et al. Conditional functional dependencies for capturing data inconsistencies , 2008, TODS.
[9] Tung Khac Truong,et al. Chemical reaction optimization with greedy strategy for the 0-1 knapsack problem , 2013, Appl. Soft Comput..
[10] Huan Liu,et al. Feature Selection for High-Dimensional Data: A Fast Correlation-Based Filter Solution , 2003, ICML.
[11] Jiadong Yang,et al. Effective search for genetic-based machine learning systems via estimation of distribution algorithms and embedded feature reduction techniques , 2013, Neurocomputing.
[12] Leif E. Peterson. K-nearest neighbor , 2009, Scholarpedia.
[13] Huan Liu,et al. Consistency-based search in feature selection , 2003, Artif. Intell..
[14] Jose Miguel Puerta,et al. Speeding up incremental wrapper feature subset selection with Naive Bayes classifier , 2014, Knowl. Based Syst..
[15] Liujuan Cao,et al. A novel features ranking metric with application to scalable visual and bioinformatics data classification , 2016, Neurocomputing.
[16] Samir Khuller,et al. The Budgeted Maximum Coverage Problem , 1999, Inf. Process. Lett..
[17] F. Fleuret. Fast Binary Feature Selection with Conditional Mutual Information , 2004, J. Mach. Learn. Res..
[18] Shuai Ma,et al. Improving Data Quality: Consistency and Accuracy , 2007, VLDB.
[19] Bin Ran,et al. Feature selection with redundancy-complementariness dispersion , 2015, Knowl. Based Syst..
[20] Wenfei Fan,et al. Dependencies revisited for improving data quality , 2008, PODS.
[21] Xing Zhang,et al. Embedded feature-selection support vector machine for driving pattern recognition , 2015, J. Frankl. Inst..
[22] Huan Liu,et al. A Probabilistic Approach to Feature Selection - A Filter Solution , 1996, ICML.
[23] Huan Liu,et al. Hybrid Search of Feature Subsets , 1998, PRICAI.
[24] Marko Robnik-Sikonja,et al. Theoretical and Empirical Analysis of ReliefF and RReliefF , 2003, Machine Learning.
[25] Maurizio Lenzerini,et al. Data integration: a theoretical perspective , 2002, PODS.
[26] Fuhui Long,et al. Feature selection based on mutual information criteria of max-dependency, max-relevance, and min-redundancy , 2003, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[27] Huan Liu,et al. Embedded Unsupervised Feature Selection , 2015, AAAI.
[28] J. Ross Quinlan,et al. Induction of Decision Trees , 1986, Machine Learning.
[29] Sildomar T. Monteiro,et al. Embedded feature selection of hyperspectral bands with boosted decision trees , 2011, 2011 IEEE International Geoscience and Remote Sensing Symposium.
[30] Xin-She Yang,et al. A wrapper approach for feature selection based on Bat Algorithm and Optimum-Path Forest , 2014, Expert Syst. Appl..
[31] Jan Chomicki,et al. Consistent query answers in inconsistent databases , 1999, PODS '99.
[32] Qinghua Hu,et al. Large-margin feature selection for monotonic classification , 2012, Knowl. Based Syst..
[33] Razieh Sheikhpour,et al. Particle swarm optimization for bandwidth determination and feature selection of kernel density estimation based classifiers in diagnosis of breast cancer , 2016, Appl. Soft Comput..
[34] Min Han,et al. Global mutual information-based feature selection approach using single-objective and multi-objective optimization , 2015, Neurocomputing.
[35] Ji Zhu,et al. Kernel Logistic Regression and the Import Vector Machine , 2001, NIPS.
[36] Seyed Mohammad Mirjalili,et al. Whale optimization approaches for wrapper feature selection , 2018, Appl. Soft Comput..