A fuzzy-rough nearest neighbor classifier combined with consistency-based subset evaluation and instance selection for automated diagnosis of breast cancer

作者: Aytuğ Onan

DOI: 10.1016/J.ESWA.2015.05.006

关键词:

摘要: … based on the fuzzy-rough nearest neighbor classifier. K-nearest neighbor method is one of the … explain the guiding principles for fuzzy-rough sets here. The hybridization of fuzzy and …

参考文章(52)
Gary Miner, John Elder, Robert Nisbet, Handbook of Statistical Analysis and Data Mining Applications ,(2009)
Rudy Setiono, Huan Liu, A probabilistic approach to feature selection - a filter solution international conference on machine learning. pp. 319- 327 ,(1996)
Didier Dubois, Henri Prade, Putting Rough Sets and Fuzzy Sets Together Intelligent Decision Support. pp. 203- 232 ,(1992) , 10.1007/978-94-015-7975-9_14
Norbert Jankowski, Marek Grochowski, Comparison of Instances Seletion Algorithms I. Algorithms Survey international conference on artificial intelligence and soft computing. pp. 598- 603 ,(2004) , 10.1007/978-3-540-24844-6_90
Mark A. Hall, Geoffrey Holmes, Benchmarking attribute selection techniques for data mining University of Waikato, Department of Computer Science. ,(2000)
Richard Jensen, Fuzzy-rough data mining granular computing. pp. 31- 35 ,(2011) , 10.1007/978-3-642-21881-1_7
Nitin Bhatia, Vandana, Survey of Nearest Neighbor Techniques arXiv: Computer Vision and Pattern Recognition. ,(2010)
Jianhua Dai, Rough set approach to incomplete numerical data Information Sciences. ,vol. 241, pp. 43- 57 ,(2013) , 10.1016/J.INS.2013.04.023
Young U. Ryu, R. Chandrasekaran, Varghese S. Jacob, Breast cancer prediction using the isotonic separation technique European Journal of Operational Research. ,vol. 181, pp. 842- 854 ,(2007) , 10.1016/J.EJOR.2006.06.031