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Abstract: This paper provides an overview on Data Mining (DM) technologies for the internet of things (IoT). Data Mining is one of the most valuable Technologies enable to identify Unknown patterns and make internet of things smarter. The huge network of devices generates a new type of data known as the IoT big data. The biggest challenge in today’s data mining world comes with several issues like data storage, management, privacy, security, and processing limitations such as real time streaming data. DM techniques applicable to different IoT data. Some data specific features were analyzed, and algorithms for knowledge discovery in IoT data were considered. Data mining algorithms can be applied to IOT to extract hidden information from data. Various data mining models have been proposed for Internet of Things. This paper provides a systematic and detailed review of various data mining Techniques employed in the large and small scale IoT and also discuss about the main datamining techniques, big data mining issues in IoT, applications of IoT in data mining. And also cover the issues of how the applications of data mining in IoT enables the useful accumulation of tremendous amounts of data generated from heterogeneous environments and transformed into valuable insights that can be used to the great benefit of the organization.