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Cancer is the most common disease in both Men and Women. It can start almost anywhere in the Human body. Our proposed system is working on Breast Cancer cell. Breast Cancer is very dangerous .Our proposed system describe how to find the growth rate of Cancer cell, categorize the Cancerous and Non-Cancerous cells and make a decision based system, with the help of Information Bottleneck principal into Breast Cancer cell Datasets. To find the growth rate of Cancer cells using Kinetices Cells of Cancer growth formula in the given Tumor size and categorize the Cancerous and Non-Cancerous cell using S-Phase fraction Technique thereafter, find more relevant feature of cancers using IB method. This theory defines more accurate growth of Cancer according to given tumour diameter in the large Breast data sample. The purpose of this research is to develop bizarre approach of clinical problem regarding diagnosis and provide fast recovery process at early stage of the Cancer.