Big Data has gained attention and become a hot topic in scientific and industrial fields. Big data refers to large amount of data which is difficult to store and process by using traditional data processing application. The digitization of our day to day activities generated petabyte and exabyte of data. The data coming from heterogeneous sources and maximum data is residing in unstructured way. So, Dealing with this enormous data many challenges occur and security issue is one of them. Some other big data challenges are – dealing with huge volume of data, integrating heterogeneous data source, validating data etc. In this paper, we review different challenges and security issues in big data environments.
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Breast cancer is such a type of cancer which can leads to the death of women .in this type of cancer there is excessive growth of cells of the breast tissue are done. Lump, pain or sore, bloody nipple, and change in size are being visible for the case of breast cancer. Breast cancer took places when the tissues of the breast are not in a normal manner and not divided in a proper way. Those abnormal cells make clotted mass tissues, which therefore that becomes a tumor. There are two types of tumors, one is benign, which are not cancerous and that no becomes the cause of anyone‘s death .Another type of tumor is Malignant tumor, that is cancerous and very harmful. The second type of tumor can lead to the death. Soft computing techniques are become popular for the case of medical disease diagnosis and also for the prediction. In this paper we combine the Hierarchical Clustering Method and Multilayer Perceptron to predict of the breast cancer .The accuracy of the proposed methods is 81% for the clustering method and 94% for Multilayer Perceptron.
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