Data mining in IoT era:A method based on improved frequent items mining algorithm

This paper focuses on big data in IoT. With the development and popularization of 5G technology, IoT based on 5G technology will be popularized. At the same time, it will increase more use of big data that come from heterogeneous devices. Although it is now a big data era, data from IoT will also explode in future. In these IoT data, the first task that we should do is to mine the related items and to find the association rules. So we proposed an improved frequent items mining algorithm that based on traditional Apriori algorithm. Considering time series analysis, the IoT data is coarse-grained, so it’s hard to find frequent items in the data. Based on this, we divide data into different subsets based on different times and set an initial threshold. We propose an improved frequent items and association items mining algorithm-ADAA(advanced Apriori algorithm).