Efficient classifiers for multi-class classification problems

Decision Support Systems

Volumn 53, Issue 3, 2012, Pages 473-481

  Lin, Hung Yi ^a  

^a NATIONAL TAICHUNG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (Taiwan)

Author keywords

Feature evaluation; Feature extraction; Feature selection; Inductive learning; Multi class problems; Multivariate analysis

Indexed keywords

CLASSIFICATION MODELS; COMPACT SUBSETS; COMPUTATION COMPLEXITY; CONTINUOUS DATA; CONVENTIONAL CLASSIFIER; DATA QUANTITY; FEATURE EVALUATION; HIGH DIMENSIONALITY; INDUCTIVE LEARNING; LOSS OF ACCURACY; MODERN APPLICATIONS; MULTI VARIATE ANALYSIS; MULTI-CLASS PROBLEMS; MULTICLASS CLASSIFICATION PROBLEMS; MULTIPLE CLASS; MULTIVARIATE STATISTICAL ANALYSIS; OBSERVED DATA; TRAINING TIME;

CLASSIFIERS; ELECTRON EMISSION; FEATURE EXTRACTION; LEARNING SYSTEMS; MULTIVARIANT ANALYSIS;

PROBLEM SOLVING;

EID: 84862807583     PISSN: 01679236     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.dss.2012.02.014     Document Type: Article

References (47)

1. O. Aran, and L. Akarun A multi-class classification strategy for Fisher scores: Application to signer independent sign language recognition Pattern Recognition 43 5 2010 1776 1788
2. L. Becchetti, C. Castillo, D. Donato, R. Baeza-Yates, and S. Leonardi Link analysis for Web spam detection ACM Transactions on the Web (TWEB) 2 1 2008
3. T. Bellotti, and J. Crook Support vector machines for credit scoring and discovery of significant features Expert Systems with Applications 36 2 2009 3302 3308
4. R.J. Bolton, and D.J. Hand Statistical fraud detection: a review Statistical Science 3 2002 235 255
5. C.-W. Bong, and M. Rajeswari Multi-objective nature-inspired clustering and classification techniques for image segmentation Applied Soft Computing 11 4 2011 3271 3282
6. E.J. Calabrese, J.W. Staudenmayer, E.J. Stanek, and G.R. Hoffmann Hormesis outperforms threshold model in National Cancer Institute Antitumor Drug Screening Database Toxicological Sciences 94 2 2006 368 378 (Pubitemid 44817153)
7. M.A. Carreira-Perpinan, Continuous latent variable models for dimensionality reduction and sequential data reconstruction. PhD dissertation, Dept. of Computer Science, Univ. of Sheffield, U.K., 2001.
8. C. Castillo, D. Donato, A. Gionis, V. Murdock, and F. Silvestri Know your neighbors: web spam detection using the web topology Proc. 30th Annual Int. ACM Conf. on Research and Development in Information Retrieval, Amsterdam, SIGIR '07, New York, USA 2007 423 430 (Pubitemid 350164989)
9. V. Chandola, A. Banerjee, and V. Kumar Anomaly detection: A survey ACM Computing Surveys (CSUR) 41 3 2009 Article 15
10. C.-C. Chang, and C.-J. Lin Software available: a library for support vector machines (LIBSVM) 2001 http://www.csie.ntu.edu.tw/~cjlin/libsvm
11. L. Chen, Q. Ye, and Y. Li Research on GA-based bank customer's credit evaluation Computer Engineering 32 3 2007 70 72
12. D. Delen, G. Walker, and A. Kadam Predicting breast cancer survivability: a comparison of three data mining methods Artificial Intelligence in Medicine 2 2005 113 127 (Pubitemid 40719029)
13. P. Ducange, B. Lazzerini, and F. Marcelloni Multi-objective genetic fuzzy classifiers for imbalanced and cost-sensitive datasets Soft Computing 14 7 2010 713 728
14. R. El-Yaniv, D. Pechyony, and E. Yom-Tov Better multiclass classification via a margin-optimized single binary problem Pattern Recognition Letters 29 14 2008 1954 1959
15. V. Estivill-Castro, and I. Lee Data mining techniques for autonomous exploration of large volumes of geo-referenced crime data Proc. 6th Int. Conf. on Geocomputation, Brisbane, Australia 2001
16. T. Fawcett An introduction to ROC analysis Pattern Recognition Letters 27 2006 861 874
17. Y. Feng, Z. Wu, X. Zhou, Z. Zhou, and W. Fan Knowledge discovery in traditional Chinese medicine: State of the art and perspectives Artificial Intelligence in Medicine 38 3 2006 219 236 (Pubitemid 44739269)
18. A. Fernández, M. Calderón, E. Barrenechea, H. Bustince, and F. Herrera Solving multi-class problems with linguistic fuzzy rule-based classification systems based on pairwise learning and preference relations Fuzzy Sets and Systems 161 2010 3064 3080
19. I.K. Fodor A Survey of Dimension Reduction Techniques Technical Report UCRL-ID-148494 2002 Lawrence Livermore National Laboratory, Center for Applied Scientific Computing
20. K. Fukunaga Introduction to Statistical Pattern Recognition 2nd ed. 1990 Academic Press San Diego, CA, USA
21. J. Fürnkranz Round robin classification Machine Learning Research 2 2002 721 747 (Pubitemid 135712579)
22. M. Galar, A. Fernández, E. Barrenechea, H. Bustince, and F. Herrera An overview of ensemble methods for binary classifiers in multi-class problems: Experimental study on one-vs-one and one-vs-all schemes Pattern Recognition 44 8 2011 1761 1776
23. X. Hao, W. Deng-sheng, and X. Yang-qun Study on enterprise credit evaluation based on PCA/FCM Technology Economics 3 2007
24. P.-W. Huang, and C.-H. Lee Automatic classification for pathological prostate images based on fractal analysis IEEE Transactions on Medical Imaging 28 7 2009 1037 1050
25. A.K. Jain, R.P.W. Duin, and J. Mao Statistical Pattern Recognition: A Review IEEE Transactions on Pattern Analysis and Machine Intelligence 22 1 2000 4 37 (Pubitemid 32132953)
26. M.M. Kabira, M.M. Islamb, and K. Murase A new wrapper feature selection approach using neural network Neurocomputing 73 2010 3273 3283
27. A. Khashman Neural networks for credit risk evaluation: Investigation of different neural models and learning schemes Expert Systems with Applications 37 9 2010 6233 6239
28. H.-W. Kim, H.C. Chan, and S. Gupta Value-based adoption of mobile Internet: An empirical investigation Decision Support Systems 43 1 2007 111 126 (Pubitemid 46091707)
29. T. Li, C. Zhang, and M. Ogihara A comparative study of feature selection and multiclass classification methods for tissue classification based on gene expression Bioinformatics 20 15 2004 2429 2437 (Pubitemid 39429915)
30. S. Maldonado, R. Weber, and J. Basak Simultaneous feature selection and classification using kernel-penalized support vector machines Information Sciences 18 2011 115 128
31. C. Orsenigo, and C. Vercellis Multivariate classification trees based on minimum features discrete support vector machines IMA Journal of Management Mathematics 14 3 2003 221 234
32. J.S. Pedersen, G. Bejerano, A. Siepel, K. Rosenbloom, K. Lindblad-Toh, E.S. Lander, J. Kent, W. Miller, and D. Haussler Identification and classification of conserved RNA secondary structures in the human genome PLoS Computational Biology 2 4 2006 e33
33. H. Peng, F. Long, and C. Ding Feature selection based on mutual information: Criteria of max-dependency, max-relevance, and min-redundancy IEEE Transactions on Pattern Analysis and Machine Intelligence 27 8 August 2005 1226 1238 (Pubitemid 41245053)
34. X. Qi, and B.D. Davison Web page classification: Features and algorithms ACM Computing Surveys (CSUR) 41 2 2009 1 31
35. L.E. Raileanu, and K. Stoffel Theoretical comparison between the Gini index and information gain criteria Annals of Mathematics and Artificial Intelligence 41 1 2004 77 93 (Pubitemid 39051120)
36. A. Siepel, and D. Haussler Computational identification of evolutionary conserved exons Proc. of the Eighth Annual Int. Conf. on Computational Biology (RECOMB-04) 2004 ACM Press New York
37. StatLib Datasets Archive http://lib.stat.cmu.edu/datasets
38. Statlog Datasets http://www.is.umk.pl/project/datasets-stat.htm
39. C.-F. Tsai Feature selection in bankruptcy prediction Knowledge -Based Systems 22 2009 120 127
40. C.-F. Tsai, and Y.-C. Hsiao Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches Decision Support Systems 50 2010 258 269
41. UCI Learning Repository http://www.ics.uci.edu/mlearn/MLSummary.html 2005
42. C.-M. Wang, and Y.-F. Huang Evolutionary-based feature selection approaches with new criteria for data mining: A case study of credit approval data Expert Systems with Applications 36 2009 5900 5908
43. A. Webb Statistical Pattern Recognition 1999 Arnold
44. H. Wei, and S. Billings Feature subset selection and ranking for data dimensionality reduction IEEE Transactions on Pattern Analysis and Machine Intelligence 1 2007 162 166 (Pubitemid 46415953)
45. X. Wu, V. Kumar, J.R. Quinlan, J. Ghosh, Q. Yang, H. Motoda, G.J. McLachlan, A. Ng, B. Liu, and P.S. Yu Top 10 algorithms in data mining Knowledge and Information Systems 14 1 2008 1 37
46. L. Yu, W. Yue, S. Wang, and K.K. Lai Support vector machine-based multiagent ensemble learning for credit risk evaluation Expert Systems with Applications 37 2 2010 1351 1360
47. H. Zhao A multi-class genetic programming approach to developing Pareto optimal decision trees Decision Support Systems 43 3 2007 809 826 (Pubitemid 46466991)