Data classification and grading system based on big data AI technology

Abstract

The invention provides a data classification and grading system based on a big data AI technology. A data acquisition module acquires data from various data sources such as a database, a file system, an API, a real-time data stream and a web crawler; the data preprocessing module is responsible for data cleaning, format conversion and duplicate removal; the feature extraction module extracts key features through principal component analysis and other feature engineering technologies; the classification model training module uses a deep learning algorithm to train a model, and improves the model performance through SVM optimization and cross validation; and the classification and grading module is used for classifying and grading the new data by using the trained model to generate a classification and grading result. Finally, the result storage and display module stores the result in a database and provides a user interface for query, the system improves the efficiency, accuracy and adaptability of data classification and grading by integrating multiple data processing technologies, and can process complex high-dimensional and unstructured data.

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