Research on Algorithms for Deep Mining of Massive Unstructured Internet of Things Data

This article analyzes the basic characteristics of Internet of Things data. The content of this article includes differentiation, similarity, and multi-path storage. The author studied a large number of unstructured deep mining algorithms, such as fuzzy system modeling, T-S fuzzy neural network, rough set classification construction, rough set attribute reduction, Apriori algorithm calculation and other related content. Based on examples, the author studies the actual application of the algorithm. The purpose of this article is to enhance the application value of mining algorithms and improve the rationality of massive unstructured content.