Study on the Intelligent Matching of Power Big Data Based on the Chinese Word Segmentation Technology

He Xi, Duan Zhengjie, L. Tao, Yuan Junfeng
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Abstract

The big data sources within an enterprise include physical power grid operation and maintenance, power supply marketing service and grid enterprise operation. Currently, various unstructured data shows an explosive growth, how to use the data-intensive science brought about by big data to make technological innovation still needs to be studied so as to serve the society better. This paper studies the intelligent matching of power big data based on the Chinese word segmentation technology.
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基于中文分词技术的电力大数据智能匹配研究
企业内部的大数据源包括电网物理运维、电源营销服务和电网企业运营。目前,各种非结构化数据呈爆炸式增长,如何利用大数据带来的数据密集型科学进行技术创新,更好地服务于社会,仍然需要研究。本文研究了基于中文分词技术的电力大数据智能匹配。
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