An application of IoT on Hungarian database using data mining techniques: A collaborative approach

Internet of Things, A whole new concept in the world connecting through web now focusses on connecting real objects with the internet and providing a whole new dimension of human evolution that enables us to make decisions more precisely, smart actions using smart objects on single tap. This way of connecting people's life will give us the whole new bunch of applications. This paper focusses on providing collaborative approach of using data mining techniques with the Internet of Things where decision providing system based on smart decisions and actions are actually backed up by knowledge extraction process. This paper uses Hungarian database under heart disease dataset as a case study, where different data mining algorithms like decision tree, k means clustering and naive bayes are applied generating eye opening facts about the datasets with the help of open source data science platform Rapid Miner.