摘要
针对电力大数据应用功能越来越多导致的学习成本和使用门槛不断增高,只有业务专家才能很好解读和使用数据分析结果等问题,文章介绍了一种基于电力大数据的标签画像技术,包括总体思路、技术架构、关键实现技术等。通过研究将信息系统数据及其分析结果自动解释并转化为定性的、日常生产语境中的语言文本且具象化呈现的方式,实现了普通业务人员无障碍理解和使用大数据分析结果,能帮助普通业务人员专心进行业务创新和创造,是对电力大数据建设方向的一次新的有益探索和尝试。
The increasing application functions of electric power big data have caused many realistic problems such as the increase of learning cost and using barriers,and only professional specialists can unscramble and use the data analysis result.To solve these problems,this paper introduces a tag portrait technology which is based on electric power big data,including the general idea,the technology structure,and the key implementation technology.The tag portrait technology can translate the information system data and data analysis result into daily production language and implement data visualization,to achieve the goal that workers could easily understand and use the data analysis result.This technology can help workers devote themselves to business innovation and creation,and it is a beneficial exploration and attempt for practical use of electric power big data.
出处
《电力信息与通信技术》
2017年第2期43-48,共6页
Electric Power Information and Communication Technology
关键词
标签画像
电力大数据
企业搜索引擎
tag portrait
electric power big data
enterprise search engine
