Multi-dimensional data processing analysis method, device and system and storage medium

The invention discloses a multi-dimensional data processing analysis method, device and system and a storage medium. The method comprises the following steps: acquiring multi-source heterogeneous business data through a pre-configured data interface; performing feature extraction on the unstructured business data to form a text data set; traversing the text data set, and constructing a TF-IDF vector matrix; constructing a ball tree index space; performing density-based clustering on all the data points to obtain a plurality of clusters; constructing a candidate 1-item set by taking one cluster as one item; items not smaller than a first support degree threshold value are screened out, a frequent 1-item set is obtained, and each item in the frequent 1-item set is composed of a cluster; based on the above mode, constructing a frequent n-item set until an n + 1 frequent item set cannot be constructed; and on the basis of all the generated frequent item sets, items conforming to a preset confidence coefficient ar