
Asian Journal of Computer Science and Technology (AJCST)
A Study: Breast Cancer Prediction Using Data Mining Techniques
Author : B. Gousbi and A. R. Mohamed ShanavasVolume 8 No.2 Special Issue:March 2019 pp 52-56
Abstract
Data mining is the extraction of unseen predictive info from huge databases, is the process of arranging through enormous data sets to recognize patterns and create relationships to resolve the problems through data analysis. Cancer is one of the primary reasons of death wide-reaching. Timely detection and prevention of cancer plays a very vital role in decreasing deaths affected by cancer. Identification of genetic and environmental factors is very significant in emerging novel methods to identify and avert cancer. Many researchers’ use data mining techniques like clustering, classification and prediction find potential cancer patients. This paper focuses on a breast cancer prediction system built on data mining techniques. With the help of this system, people can guess the possibility of the breast cancer in the former stage itself.
Keywords
Data Mining, Breast Cancer, Prediction, Classification and Clustering
References
[1] Hemlata Sahu, Shalini Shrma, and Seema Gondhalakar, “A Brief Overview on Data Mining Survey”, International Journal of Computer Technology and Electronics Engineering (IJCTEE), Vol. 1, No.3, pp. 114-121, 2011. [2] P. Ramachandran, N. Girija, and T. Bhuvaneswari, “Early Detection and Prevention of Cancer using Data Mining Techniques”,International Journal of Computer Applications, Vol. 97, No. 13, pg. 48-53, July 2014.
[3] K. Arutchelvan and R. Periyasamy, “Cancer Prediction System Using Data Mining Techniques”, International Research Journal of Engineering and Technology, Vol.2, No. 8, pp. 1179-1183, Nov. 2015.
[4] V. Krishnaiah, G. Narsimha, and N. Subhash Chandra, “Diagnosis of Lung Cancer Prediction System Using Data Mining Classification Techniques”, International Journal of Computer Science and Information Technologies, Vol.4, No.1, pp. 39-45, 2013.
[5] Sahar Mokhtar and Alaa. M. Elsayad, “Predicting the Severity of Breast Masses with Data Mining Methods”, International Journal of Computer ScienceIssues, Vol. 10, Mar. 2013.
[6] Ada and Rajneet Kaur, “Using Some Data Mining Techniques to Predict the Survival Year of Lung Cancer Patient”, International Journal of Computer Science and Mobile Computing, Vol. 2, No. 4, pp.1-6, Apr. 2013.
[7] Charles Edeki and Shardul Pandya, “Comparative Study of Data Mining and Statistical Learning Techniques for Prediction of Cancer Survivability”, Mediterranean journal of Social Sciences., Vol. 3, No. 14, pp. 49-56, Nov. 2012.
[8] Zakaria Sulimanzubi and Rema Asheibani Saad, “Improves Treatment Programs of Lung Cancer using Data Mining Techniques”,
Journal of Software Engineering and Applications, Vol. 7, pp. 69-77, Feb. 2014. [9] Shivangi Bhardwaj, “Data Mining Clustering Techniques – A Review”, International Journal of Computer Science and Mobile Computing, Vol. 6, No.5, pp. 183-186, May. 2017.
[10] C. Kalaiselvi and G.M. Nasira, “A New Approach for Diagnosis of Diabetes and Prediction of Cancer using ANFIS”, World Congress on Computing and Communication Technologies, pp. 188-190, 2014.
[11] G. Ravi Kumar, G. A. Ramachandra and K. Nagamani, “An Efficient Prediction of Breast Cancer Data using Data Mining Techniques”, International Journal of Innovations in Engineering and Technology, Vol. 2, No. 4, pp. 139-144, Aug. 2013.
[12] Vikas Chaurasia and Saurabh Pal, “Data Mining Techniques: To Predict and Resolve Breast Cancer Survivability”, International Journal of Computer Science and Mobile Computing, Vol. 3, No.1, pp. 10-22, Jan. 2014.
[13] K. Sivakami, “Mining Big Data: Breast Cancer Prediction using DT – SVM Hybrid Model”, International Journal of Scientific Engineering and Applied Science, Vol. 1, No. 5, pp. 418-429, Aug. 2015.