海洋地质数据挖掘系统研发及在海山年龄预测中的应用

Marine geological data mining system development and its application in seamount age prediction

利用数据挖掘技术分析海洋地质调查数据,以获取其中隐藏信息,对推进海洋地质数据的科学高效利用具有重要意义。在模块化设计原则下,利用Python语言开发海洋地质数据挖掘相关的核心功能,利用WinForm搭建人机交互界面,并通过参数交互的方式实现了界面和后台功能间的互动。基于综合地质地球物理资料,利用软件预测了太平洋海山年龄。预测结果精度高于利用传统克里金插值方法所得结果的精度。应用结果表明,所开发软件的数据预处理、指标分析、综合评价等功能具有很好的实用性。

Using data mining technology to find hidden information in the marine exploration data is important for increasing the marine data using efficiently.The core functions of marine geological data mining system(MGDMS)was developed in the Python,the graphical user interface(GUI)was designed in the WinForm,and finally the interaction between GUI and the core functions was realized via parameter transformation and transference.Based on the geological and geophysical data,the ages of seamount in the Pacific are predicted using the MGDMS,and the predicted ages are more precise than those of conventional Kriging method.Our case study result indicates that the functions of data preprocessing,index analysis,and overall evaluation with the MGDMS are suitable for marine geophysical data mining.