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An Efficient Medical Data Classification based on Ant Colony Optimization
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 87 - Number 10 |
| Year of Publication: 2014 |
| Authors: Jyotsna Bansal, Divakar Singh, Anju Singh |
10.5120/15243-3785
|
Jyotsna Bansal, Divakar Singh, Anju Singh . An Efficient Medical Data Classification based on Ant Colony Optimization. International Journal of Computer Applications. 87, 10 ( February 2014), 14-19. DOI=10.5120/15243-3785
Abstract
In the case of different diseases classification is an important aspect so that one can find the infected set efficiently. In this paper three different dataset named Leukemia, Lung Cancer and Prostate from the UCI machine learning repository are considered and apply efficient association based ant colony optimization for improving the classification accuracy. In our approach one can select the dataset. The data set has been refined according to the attributes. Then final data set is achieved on which we apply the next inabilities. The maximum threshold will be determined by finding the support value. So the support values are fetched and according to the support value, it will be categorized in two different parts that is relevant or irrelevant. In our case it is 0. 5. If the set crosses the maximum threshold then it will be qualify for the final set otherwise it is discarded. Then ACO mechanism has been applied on the final dataset to find the classification accuracy. Our results show the effectiveness of our approach.
References
- T. R. Golub, D. K. Slonim, P. Tamayo, C. Huard, M. Gaasenbeek, J. P. Mesirov, H. Coller, M. L. Loh, J. R. Downing, M. A. Caligiuri, C. D. Bloomfield, and E. S. Lander, "Molecular Classification of Cancer: Class Discovery and Class Prediction by Gene Expression Monitoring," Science, vol. 286, no. 5439, pp. 531-537, 1999.
- L. Li, C. R. Weinberg, T. A. Darden, and L. G. Pedersen, "Gene Selection for Sample Classification Based on Gene Expression Data: Study of Sensitivity to Choice of Parameters of the GA/ KNN Method," Bioinformatics, vol. 17, no. 12, pp. 1131-1142, 2001.
- T. S. Furey, N. Cristianini, N. Duffy, D. W. Bednarski, M. Schummer, and D. Haussler, "Support Vector Machine Classification and Validation of Cancer Tissue Samples Using Microarray Expression Data," Bioinformatics, vol. 16, no. 10, pp. 906-914, 2000.
- M. M. Xiong, L. Jin, W. Li, and E. Boerwinkle, "Tumor Classification Using Gene Expression Profiles," Biotechniques, vol. 29, pp. 1264-1270, 2000.
- Y. Wang, I. V. Tetko, M. A. Hall, E. Frank, A. Facius, K. F. X. Mayer, and H. W. Mewes, "Gene Selection from Microarray Data for Cancer Classification—A Machine Learning Approach," Computational Biology and Chemistry, vol. 29, no. 1, pp. 37-46, 2005.
- M. Xiong, X. Fang, and J. Zhao, "Biomarker Identification by Feature Wrappers," Genome Research, vol. 11, pp. 1878-1887, 2001.
- Yukyee Leung; Yeungsam Hung, "A Multiple-Filter-Multiple-Wrapper Approach to Gene Selection and Microarray Data Classification," Computational Biology and Bioinformatics, IEEE/ACM Transactions on. vol. 7, no. 1, pp. 108,117, Jan. -March 2010.
- JogendraKushwah, Divakar Singh,"Classification of Cancer Gene Selection Using Random Forest and Neural Network Based Ensemble Classifier",International Journal of Advanced Computer Research (IJACR), Volume-3 Number-2 Issue-10 June-2013.
- Dubey, A. K. ; Dubey, A. K. ; Agarwal, V. ; Khandagre, Y. , "Knowledge discovery with a subset-superset approach for Mining Heterogeneous Data with dynamic support," Software Engineering (CONSEG), 2012 CSI Sixth International Conference on , vol. , no. , pp. 1,6, 5-7 Sept. 2012.
- Sachinsohra, NarendraRathod, "An Improved Single and Multiple association Approach for Mining Medical Databases",International Journal of Advanced Computer Research (IJACR), Volume 2, Number 2,June 2012.
- O. Cordón, F. Gomide, F. Herrera, F. Hoffmann, and L. Magdalena, "Ten years of genetic fuzzy systems: current framework and new trends," Fuzzy Sets Syst. , vol. 141, pp. 5–31, 2004.
- F. Hoffmann, "Combining boosting and evolutionary algorithms for learning of fuzzy classification rules," Fuzzy Sets Syst. , vol. 14, pp. 47–58, 2004.
- Dubey, A. K. ; Shandilya, S. K. , "A comprehensive survey of grid computing mechanism in J2ME for effective mobile computing techniques," Industrial and Information Systems (ICIIS), 2010 International Conference on , vol. , no. , pp. 207,212, July 29 2010-Aug. 1 2010.
- Dubey, A. K. ; Shandilya, S. K. , "Exploiting Need of Data Mining Services in Mobile Computing Environments," Computational Intelligence and Communication Networks (CICN), 2010 International Conference on , vol. , no. , pp. 409,414, 26-28 Nov. 2010.
- Anshuman Singh Sadh, NitinShukla," Association Rules Optimization: A Survey", International Journal of Advanced Computer Research (IJACR), Volume-3 Number-1 Issue-9 March-2013.
- Anshuman Singh Sadh, NitinShukla, "Apriori and Ant Colony Optimization of Association Rules",International Journal of Advanced Computer Research (IJACR), Volume-3 Number-2 Issue-10 June-2013.
- Blaschke C. , Oliveros, J. C. and Valencia, A. , "Mining
- Patrick C. H. Ma and Keith C. C. Chan," Incremental Fuzzy Mining of Gene Expression Data for Gene Function Prediction", IEEE Transactions on Biomedical Engineering, VOL. 58, NO. 5, MAY 2011.
- Debahuti Mishra and BarnaliSahu, "A Signal-to-noise Classification Model for Identification of Differentially Expressed Genes from Gene Expression Data", IEEE 2011.
- PradiptaMaji and Chandra Das," Relevant and Significant Supervised Gene Clusters for Microarray Cancer Classification", IEEE Transactions on Nano bioscience, Vol. 11, No. 2, June 2012.
- SmrutiRekha Das, Pradeepta Kumar Panigrahi, Kaberi Das and Debahuti Mishra, "Improving RBF Kernel Function of Support Vector Machine using Particle Swarm Optimization", International Journal of Advanced Computer Research (IJACR) Volume-2 Number-4 Issue-7 December-2012.
- Jian-Bo Yang and Chong-Jin Ong,"An Effective Feature Selection Method via Mutual Information Estimation",IEEE Transactions on Systems, Man, and Cybernetics—Part B: Cybernetics, Vol. 42, No. 6, December 2012.
- Xiao Zhang, AichenLi,You Zhang, Yongpeng Xiao,"Validity of Cluster Technique for Genome Expression Data", IEEE 2012.
- Shang Gao, Omar Addam, AlaQabaja, AbdallahElSheikh, Omar Zarour, Mohamad Nagi,FlourisTriant,Wadhah Almansoori, Omer Sair, TanselOzyer, JiaZeng, JonRokne, RedaAlhajj "Robust Integrated Framework for Effective Feature Selection and Fuzzy Sets Syst. , vol. 141, pp. 5–31, 2004 Sample Classification and Its Application to Gene Expression Data Analysis", IEEE 2012.
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