Knowledge Discovery from a Breast Cancer Database
نویسندگان
چکیده
In this paper, we study various factors leading to breast cancer and also a few symptoms that act as biomarkers for the occurrence of breast cancer in women. Totally 18 factors are taken for study. Statistical techniques are used to analyze the influence of various factors towards the disease and test for significance of factors is also done. Besides association rule mining is attempted to generate possible factors that may lead to breast cancer. An attempt to classify the given dataset using information gain techniques and CHAID techniques was done. Clustering was also done to predict the occurrence of breast cancer. The results show that there is more possibility of developing breast cancer among married working women who have breast fed less than 2.5 years in total.
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