摘要
阐述针对数据预处理与特征工程、实时监测与反馈机制提出优化策略,包括数据清洗与去噪、数据标准化与归一化、特征选择与构建、实时数据流处理、实时反馈与处理,以及模型更新与优化.
Abstract
This paper describes optimization strategies for data preprocessing and feature engineering,real-time monitoring and feedback mechanisms,including data cleaning and denoising,data standardization and normalization,feature selection and construction,real-time data stream processing,real-time feedback and processing,as well as model updating and optimization.
维普
万方数据