面向电磁大数据分析的图形化编程平台

在大数据时代，依靠以机器学习为代表的人工智能技术从海量、复杂多样的电磁大数据中快速挖掘出有效的信息是当前的研究热点。面向电磁数据的机器学习算法具有多样性、多变性的特点，要求相关人员具有专业能力与编程知识。为解决电磁大数据挖掘实现过程中的复杂编程问题，提出面向电磁大数据的图形化编程平台，将机器学习的各类算法组件化，用户无需编写代码即可建立机器学习模型和工作流分析数据，并以可视化的方式分析电磁数据，帮助用户进一步理解数据，具有快速开发与易上手的优点。

Graphical programming platform for electromagnetic big data mining analysis

In the era of big data, how to quickly extract effective information from the massive,complex and diverse electromagnetic big data based on artificial intelligence technology represented by machine learning is a research hotspot. However, machine learning algorithms for electromagnetic data are diverse and variable, and it is difficult for the people without relevant professional and programming knowledge to get started.To solve the complex programming problem of Electromagnetic(EM) big data mining, a graphical programming platform for EM big data is proposed. Various algorithms of machine learning are designed into independent components so that users can build machine learning models and workflows to analyze data without writing code. The EM data is analyzed by visual diagrams to help users better understand the data. The platform can bulid workflows quickly and it is easy for users to get started.