一种基于XGBoost算法的地球化学数据综合处理方法和系统
The XGBoost algorithm automates the processing of mineral geochemical data, solving problems such as data acquisition difficulties, inconsistent formats, and data silos. It also eliminates closure effects, provides more accurate geochemical datasets, and supports Earth science research.
Patent Information
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- CHINA UNIV OF GEOSCIENCES (BEIJING)
- Filing Date
- 2024-01-18
- Publication Date
- 2026-07-17
AI Technical Summary
The lack of comprehensive databases for mineral geochemical data, the difficulty in data acquisition, and the inconsistent formats lead to data silos and closure effects, affecting the accuracy of data analysis results.
Using the XGBoost algorithm, multiple scattered datasets are automatically aggregated using Python, multi-level labels are added, statistically insignificant element features are removed, missing values are filled, outliers are removed, and a central log-ratio transformation is performed to decode the component data.
It provides more accurate and consistent geochemical datasets, solves the problems of data acquisition difficulties, inconsistent formats and data silos, eliminates closure effects, and improves the accuracy of data analysis.
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