Data mining techniques are used for mining useful trends or patterns from textual and image data sets. Medical data mining is very important field as it has significant utility in healthcare domain in the real world. The mining techniques can help the healthcare industry to improve quality of services and grow faster with state-of-the-art technologies. Technology usage is not limited to decision making in enterprises but spread to every walk of life in all fields. This paper is focused on brain tumour detection which is an essential decision making feature and is a part of healthcare application. This paper proposed a methodology for brain tumour detection which has both training and testing phases. A prototype application has been built to demonstrate the usefulness of the proposed algorithm. The experimental results reveal that the application can be integrated with decision support systems in healthcare domain for improving quality of services.