Data processing method and device based on knowledge graph, equipment and storage medium

Abstract

The invention relates to the technical field of computers, and discloses a data processing method and device based on a knowledge graph, equipment and a storage medium; the method includes obtaining and preprocessing original data, and forming a training data set, a verification data set and a test data set; training the training data set, and constructing a sample feature model; verifying the validity of the sample feature model by adopting the verification data set; performing data prediction on the verified sample feature model by adopting the test data set, and evaluating the sample feature model according to a test result of data prediction; performing model optimization according to an evaluation result of the sample feature model to obtain a data feature model; inputting to-be-processed data into the data feature model to obtain result data, constructing a knowledge graph according to the result data, and visually outputting the knowledge graph to a Web end of a user. According to the invention, the data processing efficiency and accuracy are improved.

Description

technical field [0001] The present invention relates to the field of computer technology, in particular to a data processing method, device, equipment and storage medium based on a knowledge graph. Background technique [0002] In recent years, with the development of modern information technologies such as mobile Internet, big data, and cloud computing, enterprises are faced with massive amounts of big data. At present, the analysis technology based on artificial intelligence is mainly the research of big data analysis technology from the aspect of machine learning. For big data clustering, big data association analysis, big data classification and big data forecasting technologies, machine learning can summarize the correlation between events through training with a large amount of data; although artificial intelligence technology is a sharp tool for big data analysis , but in the face of big data problems, the difficulty of data processing is further increased, the data c...

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Problems solved by technology

[0002] In recent years, with the development of modern information technologies such as mobile Internet, big data, and cloud computing, enterprises are faced with massive amounts of big data. At present, the analysis technology based on artificial intelligence is mainly the research of big data analysis technology from the aspect of machine learning. For big data clustering, big data association analysis, big data classification and big data forecasting technologies, machine learning can summarize the correlation between events through training with a large amount of data; although artificial intelligence technology is a sharp tool for big data analysis , but in the face of big data problems, the difficulty of data processing is further increased, the data cannot be analyzed comprehensively and comprehensively, and the processing requirements of data correlation cannot be met, so effective and auxiliary information cannot be extracted. Reduced value of data

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