Intelligent indexing algorithm for the association rules of a multi-layer distributed database

In order to improve the retrieval ability of multi-layer distributed database association rules, a multi-layer distributed database association rule intelligent indexing method based on fuzzy correlation cluster analysis is proposed. The feature reconstruction of multi-layer distributed database association rules is carried out by the phase-space reconstruction method, the discrete fusion of multi-layer distributed database association rules is carried out by the rough set feature matching method, the association rule feature quantity mining and the statistical regression analysis are carried out in the multi-layer distributed database, the multi-layer distributed database association rules are extracted by the multi-grid partitioning method, and the key information index model of multi-layer distributed database association rules is established. The simulation results show that the multi-layer distributed database association rule intelligent index has a high fusion degree and high accuracy. © 2020 CRL Publishing Ltd.