Knowledge Discovery in Databases (KDD) is another name for data mining. It's also known as the process of extracting interpretable, intriguing and valuable statistics from unstructured data. There are a variety of resources which generally produce huge amounts of raw data. This is the primary cause for the fast growth of data mining applications. This article discusses data mining methods and their applications, including scholastic data mining (SDM), life sciences, commerce, finance, and medicine among others. We put current methods together to see how data mining might be used to various areas. Our classification focuses on research that was published between 2007 and 2017. We provide a simple and brief perspective of various models used in data mining with this classification.