Fast Algorithms for Mining Association Rules in Large Databases
VLDB '94 Proceedings of the 20th International Conference on Very Large Data Bases
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Breast cancer is the one of the common cancer types for woman society in Myanmar as well as in the world. Identifying recurrence and breast cancer patients profiling in terms of breast cancer recurrence-related data and breast cancer patient characteristics provide new insights into the complexity and causes of breast cancer recurrence. To estimate the probability of recurrence given the patient's symptoms, the statistical model is one of the current prognosis techniques. This approach offers reliable conclusions but lacks explanatory power in a human readable form, i.e. no obvious qualitative chain of inference to the conclusion. To address this issue, we investigate the exploitation of the frequent pattern as an underlying technique for this purpose. As a result, this approach can be very efficiently applied in this domain.