Abstract: Data mining is the general term for processing that is found in data schemas, usually with the help of powerful algorithms to automatically search for parts of the process. These methods come from disciplines such as statistics, databases, learning (IA) machines, pattern recognition, neural networks, visualization, high performance and parallel computing. The goal of data mining is that it is the conversion of data of facts or words that can be handled by computer knowledge. Today, dependency on data in medical care is increasing. The medical industry generates a large amount of data often in a large number of medical imaging. The availability of patient records, patient monitors, and a large number of medical data results in the need for data analysis to effectively extract useful knowledge from unstructured formats. Medical diagnosis is very important, but can also be accurate and effective to carry out complex tasks. The purpose of this paper is to provide the reader with an understanding of data mining and its importance in the medical system. In this paper, we will introduce the concept of data mining and its significance in medical systems, such as classification, clustering, association rules, regression and so on.
Keywords: Association Rules, Classification, Clustering, Data mining, Medical Diagnosis System, Regression.