This project aims in detecting the Cancer Genes using the data mining concept. The Classification rule and the Cluster Analysis is being used under the data mining concept. For some types of cancer, the damaging variations are inherited. Thus, our parent’s medical history might provide clues to disease risks to look for in ourselves. Thus the damaged cell will get affected. The affected genes are divided into two broad categories. Oncogenesis are genes that promote cell growth and reproduction. Tumor suppressor genes are genes that inhibit cell division and survival. Typically, changes in many genes are required to transform a normal cell into a cancer cell. The objective of this project is to detect the cancer gene using the data mining concept. The Classification rule in the data mining is approached to classify and detect the type of gene. After which, the normal cell and the cancer cell will get separated using the Cluster Analysis process. The normal cell will be apart, whereas the cancer cell will provide different types of cancer genes that are present. Hence, the different type of genes are also classified. It will also show the difference between a normal cell & cancer cell.