Abstract: Disclosed is a method for constructing a data warehouse based on a wireless communication network, which includes: preprocessing original data to generate an original data table, and a KPI data table; performing knowledge extraction on the original data table and the KPI data table, and obtaining an initial data classification model by means of endogenous association inference; splitting the original data table and the KPI data table according to the initial data classification model, so as to construct initially classified basic summary data tables; performing association inference on the initial data classification model so as to output associated fields, calculating weights of associations between the associated fields and sorting the weights, and outputting a preferential association model; and performing, according to the preferential association model, data extraction, transformation and loading from the basic summary data tables, so as to generate a data warehouse for the demand fields.

Abstract: The disclosure discloses a method and system for constructing and analyzing a knowledge graph of a wireless communication network protocol, and a device and a medium. The method for constructing and analyzing the knowledge graph of the wireless communication network protocol includes: defining entities and a relation between the entities according to endogenous factors of a wireless communication network protocol, defining a triplet based on the defined entities and the defined relation between the entities, and constructing a knowledge graph of the endogenous factors of the wireless communication network protocol based on the defined triplet; and performing association analysis between any nodes in the knowledge graph to acquire an association relation hidden between the endogenous factors of the wireless communication network protocol.