Data Mining Methods for Internet of Things: A Survey

It is fascinating to think about all the many ways in which information, intellect, and knowledge may be used in human existence. Because of the lightning-fast pace at which technology is advancing, it is now essential to amass a large quantity of data in order to forecast and investigate potential developments in the field of artificial intelligence. In order to identify new information inside databases, it is necessary to apply strategies and procedures taken from a variety of information systems specializations. The practice of data mining entails not only the finding of new information but also the extraction of information that may be put to beneficial use. In recent years, considerable advances have been made in decision-making abilities in a variety of contexts, including expert systems, artificial agent networks, and machine intelligence. These businesses include companies in the fields of commerce, education, architecture, and building construction, among others. The approach that was taken in this piece was derived from an analysis of the data mining strategies and developments that have seen the greatest amount of adoption across a variety of business sectors over the course of the last five years. These patterns and modes of operation were investigated. Throughout the course of this enquiry, the processes and patterns described above were scrutinized. The use of text mining as a tool for database analysis, the enhancement of worker productivity in the industrial sector, and the application of data mining for instructional practices are only a few instances of what has been learnt in the area of education. One other illustration of this would be the use of text mining as a technique for image recognition. It was also found in the fields of trade and industry.