The optimization of apriori algorithm based on array and its application in the analysis of insurance clients

The explosive growth of the insurance data puts forward a higher demand for the data processing of the internet of things. This paper adopts distributed database as the underlying data storage, combines with array-based apriori technology on the basis of data mining, applies and queries, and proposes a type of array-based apriori optimization algorithm. Array-based data layout, first stacks data arrays, applies the apriori optimized algorithm to each stack, and connects by adopting the descending order. The improved algorithm reduces the number of connections, decreases the the number of scans and improves memory utilization.