A Novel Classification Method Based on Data Gravitation
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Yuehui Chen | Bo Yang | Zhenxiang Chen | Lizhi Peng | Yuehui Chen | Lizhi Peng | Zhenxiang Chen | Bo Yang
[1] Yong Shi,et al. A shrinking-based dimension reduction approach for multi-dimensional analysis , 2004, Proceedings. 16th International Conference on Scientific and Statistical Database Management, 2004..
[2] Xiaohua Hu,et al. Using rough sets theory and database operations to construct a good ensemble of classifiers for data mining applications , 2001, Proceedings 2001 IEEE International Conference on Data Mining.
[3] Yong Shi,et al. A Shrinking-Based Approach for Multi-Dimensional Data Analysis , 2003, VLDB.
[4] Tom Fawcett,et al. ROC Graphs: Notes and Practical Considerations for Researchers , 2007 .
[5] Andrzej Skowron,et al. A rough set approach to knowledge discovery , 2002, International Journal of Intelligent Systems.
[6] Z. Pawlak. Rough Sets: Theoretical Aspects of Reasoning about Data , 1991 .
[7] J. MacQueen. Some methods for classification and analysis of multivariate observations , 1967 .
[8] AbrahamAjith,et al. Feature deduction and ensemble design of intrusion detection systems , 2005 .
[9] Dimitrios Gunopulos,et al. Automatic subspace clustering of high dimensional data for data mining applications , 1998, SIGMOD '98.
[10] Vladimir N. Vapnik,et al. The Nature of Statistical Learning Theory , 2000, Statistics for Engineering and Information Science.
[11] Barry Webster,et al. A Local Search Optimization Algorithm Based on Natural Principles of Gravitation , 2003, IKE.
[12] Sonajharia Minz,et al. Hybridized Rough Set Framework for Classification: An Experimental View , 2003, HIS.
[13] Bernhard E. Boser,et al. A training algorithm for optimal margin classifiers , 1992, COLT '92.
[14] Huan Liu,et al. Feature Selection for Classification , 1997, Intell. Data Anal..
[15] A. Zhang,et al. A shrinking-based dimension reduction approach for multi-dimensional analysis , 2004, Proceedings. 16th International Conference on Scientific and Statistical Database Management, 2004..
[16] Yuehui Chen,et al. Feature Selection and Intrusion Detection Using Hybrid Flexible Neural Tree , 2005, ISNN.
[17] Lior Rokach,et al. An Introduction to Decision Trees , 2007 .
[18] Sonajharia Minz,et al. Rough Set Based Decision Tree Model for Classification , 2003, DaWaK.
[19] Hongjun Lu,et al. Effective Data Mining Using Neural Networks , 1996, IEEE Trans. Knowl. Data Eng..
[20] Yoav Freund,et al. Boosting a weak learning algorithm by majority , 1995, COLT '90.
[21] Marta Indulska,et al. Gravity based spatial clustering , 2002, GIS '02.
[22] Pat Langley,et al. Selection of Relevant Features and Examples in Machine Learning , 1997, Artif. Intell..