摘要
试验鉴定是装备研制的重要环节，它包括技术性能评估、适应性评估、边界性能评估和作战使用效能评估。试验产生的海量数据包括结构化数据、音频、视频、图像、文本等多种类型，应用大数据技术对试验数据进行处理与挖掘，可实现试验评估的完整性。
The test evaluation including technical performance, adaptation, boundary capability and operational efficiency evaluation is an important part in equipment development. The massive data generated by the tests consists of structured data, audio, video frequency, image and text. The test data processing and mining are made using big data technology to realize the integrity of test evaluation.
作者
朱喜明
刘华
ZHU Xi-ming;LIU Hua(The 27th Research Institute of China Electronics Technology Group Corporation, Zhengzhou 450047, Chin)
出处
《电光系统》
2018年第1期1-5,共5页
Electronic and Electro-optical Systems
关键词
大数据
数据挖掘
试验鉴定
测试评估
数据处理
Big Data
Data Mining
Test and Evaluation
Test and Assessment
Data Processing
