earticle

영어

Technological advancements have evolved into several application domains to solve various problems. One such technological area is Data Mining. It has shown its significance and potential in health care industries to serve as a guiding and decision making component. Its potential in unveiling new trends in health care organizations has proved its importance for all people associated with this area. It is the most important and encouraging area of research which have the motive to find out the information from large data set. Advance researches in data mining had made it a key player in health care field. Good analytical techniques are of utmost requirement for detecting precious information lying hidden in health industry data. This survey paper presents the importance and usefulness of different Data mining techniques such as classification, clustering, Decision Tree, Naive Bayes etc. in health domain. Here the study and comparison is done of different data mining techniques used for prediction of cancer disease from clinical dataset with different accuracy.