Using Apriori to Mine IoT Frequent Structures on Compute Cloud

By taking advantages of cloud computing technology and Internet of Things (IoT), an improved approach was proposed in this paper, which offers an efficient, fast algorithm for mining frequent structures in massive IoT datasets. The proposed data processing algorithm is preprocessing and parting data according to the traits of IoT and assuring well data parallelism. We improve Apriori algorithm based on MapReduce model, make it be able to parallel processing massive data on MapReduce model. The first step of the method is to eliminate the redundancy presents in IoT data and conduct data

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