Uni-class pattern-based classification model

Proceedings of the 2010 10th International Conference on Intelligent Systems Design and Applications, ISDA'10

Volumn , Issue , 2010, Pages 1293-1297

  Salama, Mostafa A ^a   Hassanien, Aboul Ella ^b   Fahmy, Aly A ^b  

^a BRITISH UNIVERSITY IN EGYPT   (Egypt)

^b Cairo University   (Egypt)

Author keywords

[No Author keywords available]

Indexed keywords

CLASS PATTERNS; CLASSIFICATION MODELS; CLUSTERING TECHNIQUES; CURSE OF DIMENSIONALITY; DATA SETS; DIMENSIONALITY REDUCTION METHOD; REAL LIFE DATASETS; SUBSPACE CLUSTERING; SUPERVISED MACHINE LEARNING; THRESHOLD DEPENDENCE; TRAINING DATASET;

CLUSTERING ALGORITHMS; INTELLIGENT SYSTEMS; STATISTICAL TESTS; SYSTEMS ANALYSIS;

CLASSIFICATION (OF INFORMATION);

EID: 79851506627     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ISDA.2010.5687087     Document Type: Conference Paper

References (18)

1. Ashish Ghosh, B. Uma Shankar and Saroj K. Meher, "A novel approach to neuro-fuzzy classification", Neural Networks, vol. 22, no. 1, pp. 100-109, 2009.
2. Yun-Chao Gong, Chuan-Liang Chen, "Semi-supervised method for gene expression data classification with gaussian and harmonic Functions", Pattern Recognition ICPR 2008. 19th International Conference, pp. 1-4, 2008.
3. T. Padma, Madhavi Latha and K. Jayakumar, "Decision making algorithm through LVQ neural network for ECG Arrhythmias", ICBME 2008, Proceedings 23, pp. 85-88, 2008.
4. Abderrahmane Boubezoul, Sebastien Paris and Mustapha Ouladsine, "Application of the cross entropy method to the GLVQ algorithm", Pattern Recognition, vol. 41, pp. 3173-3178, 2008.
5. Thair Nu phyu, "Survey of classification techniques in data mining", Proceedings of the International MultiConference of Engineers and Computer Scientists, IMECS 2009, Hong Kong, vol. 1, pp 727-731, 2009.
6. Nikolaos Mastrogiannis, Basilis Boutsinas and Ioannis Giannikos, "A method for improving the accuracy of data mining classification algorithms", Computers & Operations Research, vol. 36, no. 10, pp. 2829-2839, 2009.
7. C. Shang and Q. Shen, "Aiding classification of gene expression data with feature selection: a comparative study", Computational Intelligence Research, vol. 1, pp. 68-76, 2006.
8. Carmen Lai, Marcel J. T. Reinders and Lodewyk F. A. Wessels, "Random subspace method for multivariate feature selection", Pattern Recognition Letters, vol. 10, pp.1067-1076, 2006.
9. Pierre Geurts, "Pattern extraction for time series classification", Proceedings of the 5th European Conference on Principles of Data Mining and Knowledge Discovery, pp. 115 - 127, 2001. (Pubitemid 33331855)
10. Vanling Li and Li Song, "Threshold determining method for feature selection", Proceedings of the 2009 Second International Symposium on Electronic Commerce and Security, vol. 2, pp. 273-277, 2009.
11. Pedro J. Garcia-Laencina, Jose-Luis Sancho-Gomez and Anibal R. Figueiras-Vidal, "Pattern classification with missing data: a review", Neural Computing and Applications, vol. 19, pp. 263-282, 2009.
12. Jihong Guan, Yanglan Gan, Hao Wang. "Discovering pattern-based subspace clusters by pattern tree", Knowledge-Based Systems, vol. 22, pp. 569-579, 2009.
13. X. Zhang and W. Wang, "Mining coherent patterns from heterogeneous microarray", Proceedings of the 15 th ACM International Conference on Information and Knowledge Management, vol. 17, pp. 838-839, 2006. (Pubitemid 47203654)
14. Biclustering of Expression Data http://arep.med.harvard.edu/biclustering/
15. Chiba University hospital DataBase http://lisp.vse.cz/pkdd99/
16. Weka: Data Mining Software in java, http://www.cs.waikato.ac.nz/ml/weka/
17. Ian H. Witten and Frank E. (2005) Data Mining: Practical machine learning tools and techniques, 2nd Edition, Morgan Kaufmann, San Francisco, 2005.
18. A.G.K. Janecek, W.N. Gansterer, M. Demel and G.F. Ecker, "On the relationship between feature selection and classification accuracy", JMLR Workshop and Conference Proceedings, vol. 4, pp. 90-105, 2008.