Abstract
In today’s world cancer is a familiar disease to everyone, people are keen to know the way and approaches for the better diagnosis of the cancer diseases in the early stages, cancer occurs in the different parts of the body which are having the auspicious behaviours of the cancer cell. One of the major cancerous subject where the whole world is affected that is tumour, which is found in the breast region, where more than millions of people are resulting to death by these breast tumours. So the study is made under the face of machine learning algorithms and strengthening the performance of these approaches which tends to classify and prediction based on the data. Therefore, these approaches of the machine learning creates the significance model for the prediction of the cancerous cells and the analysis of those tumour cells in the subject of the breast cancer. This model tends to the development of the recommender system, which helps to bring out the condition whether the breast cancer is benign or malignant. This system use to have of K- nearest neighbour (KNN) algorithm approaches with the univariate and multivariate analysis.
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Verma, A., Shukla, A., Choudhury, T., Chauhan, A. (2020). Recommendation System for Prediction of Tumour in Cells Using Machine Learning Approach. In: Batra, U., Roy, N., Panda, B. (eds) Data Science and Analytics. REDSET 2019. Communications in Computer and Information Science, vol 1229. Springer, Singapore. https://doi.org/10.1007/978-981-15-5827-6_18
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DOI: https://doi.org/10.1007/978-981-15-5827-6_18
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