Breast Cancer Using C4.5 Classification
Data mining is the process of discovering interesting knowledge from large amount of data stored in databases and these techniques based on advanced analytical methods and tools for handling a large amount of information. Much research is being carried out in applying data mining to a variety of applications in healthcare. This thesis explores data mining techniques in health care. In particularly, it discusses about data mining and its various applications in areas where people are mostly affected rigorously by cancer in Erode District, Tamil Nadu, and India. The people affected by cancer using tobacco, chemical water. This thesis identifies the cancer level using C4.5 classification and Naïve Bayes algorithms and finds meaningful patterns which gives meaningful decision making to this socio – economic real world health venture.