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Article:Parallel Approach for Diagnosis of Breast Cancer using Neural Network Technique
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 10 - Number 3 |
| Year of Publication: 2010 |
| Authors: Dr. K. Usha Rani |
10.5120/1465-1980
|
Dr. K. Usha Rani . Article:Parallel Approach for Diagnosis of Breast Cancer using Neural Network Technique. International Journal of Computer Applications. 10, 3 ( November 2010), 1-5. DOI=10.5120/1465-1980
Abstract
Classification is perhaps the most familiar and popular data mining technique. Inspired by biological neural networks, Artificial Neural Networks are developed to mimic the characteristics such as robustness and fault tolerance. To perform classification task of medical data, the neural network is trained. To speed up the training process parallel approach is adopted. In this paper a parallel approach by using neural network technique is proposed to help in the diagnosis of breast cancer. The neural network is trained with breast cancer data base by using feed forward neural network model and backpropagation learning algorithm with momentum and variable learning rate. The performance of the network is evaluated. The experimental result shows that by applying parallel approach in neural network model yields efficient result.
References
- A.A Freitas & S.H. Lavington. Mining Very Large Databases with Parallel Processing. Kulwer Academic Publishers, 1998. ISBN 0-7923-8048-7.
- R. J. Bayardo. Efficiently mining long patterns from databases. In ACM SIGMOD Conf. Management of Data, June 1998.
- John Shafer, Rakesh Agarwal, and Manish Mehta. SPRINT:A scalable parallel classifier for data mining. In Proc. Of the VLDB Conference, Bombay, India, Sep 1996.
- Sunghwan Sohn and Cihan H. Dagli. Ensemble of Evolving Neural Networks in classification. Neural Processing Letters 19: 191-203, Kulwer Publishers, 2004
- Sushmita Mitra. Datamining in Soft Computing Framework: A Survey. IEEE Transactions on Neural Networks, Vol 13, No. 1, Jan 2002.
- R. Rojas. Neural Networks: a systematic introduction. Springer-Verlag, 1996
- R. Owen Rigers. A framework for parallel data mining using neural networks. Technical report , Queen’s University, Canada, 1997.
- Simon Haykin. Neural Networks – A Comprehensive Foundation. Pearson Education, 2001.
- K. Anil Jain, Jianchang Mao and K.M. Mohiuddin. Artificial Neural Networks: A Tutorial. IEEE Computers, 1996, pp.31-44.
- George Cybenko. Neural Networks in Computational Science and Engineering. IEEE Computational Science and Engineering, 1996, pp.36-42.
- Dr. A. Kandaswamy, Applications of Artificial Neural Networks in Bio Medical Engineering. The Institute of Electronics and Telecommunicatio Engineers, Proceedings of the Zonal Seminar on Neural Networks, Nov 20-21, 1997.
- A. Kusiak, K.H. Kernstine, J.A. Kern, K>A. McLaughlin and T.L. Tseng, Data mining: Medical and Engineering Case Studies, Proceedings of the Industrial Rngineering Research 2000 Conference, Cleveland, Ohio, May21-23,pp.1-7,2000
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