Author:
Papasani Anusha,Devarakonda Nagaraju,Polkowski Zdzislaw,Thotakura Madhavi,Bhagya Lakshmi N.
Reference14 articles.
1. Cheng, T.-H., Wei, C.-P., Tseng, V.S.: ‘Feature selection for medical data mining: comparisons of expert judgment and automatic approaches. In: Proceedings of 19th IEEE International Symposium Computer-Based Medical Systems (CBMS), Jun 2006, pp. 165–170
2. Devarakonda, N., Rao Batchanaboyina, M.: An effective approach for selecting cluster centroids for the k-means algorithm using IABC (inductive artificial bee colony) approach. In: IEEE 18th International Conference on Cognitive Informatics and Cognitive Computing (ICCI*CC-2019), July 23–25, 2019. Politecnico di Milano University, Italy
3. Şahan, K.P., Kodaz, H., Güneş, S.: ‘A new hybrid method based on fuzzy-artificial immune system and k-NN algorithm for breast cancer diagnosis. Comput. Biol. Med. 37(3), 415–423 (2007)
4. Witten, I.H., Frank, E., Hall, M.A.: Data Mining: Practical Machine Learning Tools and Techniques, 3rd edn. Morgan Kaufmann, Burlington, MA, USA (2011)
5. Minelli, L., D’Ornellas, M.C., Winck, A.R.: ‘Knowledge representation for lung cancer patients’ prognosis. In: Proceedings of IEEE 16th International Conference on E-Health Networking, Application Services (Healthcom), Natal, Brazil, Oct 2014, pp. 358–363
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