A Multi-Model of Classification for Electric-Power Industrial Customer Based on Big Data

被引：0

作者：

Ruan, Qun-sheng ^{[1
]}

Wu, Qin-feng ^{[1
]}

Tseng, Hsien-wei ^{[2
]}

Liu, Xi-ling ^{[3
]}

机构：

[1] Xiamen Univ, Sch Software, Haiyun Pk, Xiamen, Fujian, Peoples R China

[2] Sch Informat Engn, Longyan, Fujian, Peoples R China

[3] Sch Informat Mech & Elect Enginerring, Xueyuan Rd 1, Ningde, Fujian, Peoples R China

来源：

PROCEEDINGS OF THE 2017 IEEE INTERNATIONAL CONFERENCE ON INFORMATION, COMMUNICATION AND ENGINEERING (IEEE-ICICE 2017) | 2017年

关键词：

Customer Portrait; Big Data; Machine Learning; Multi-model;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Aiming to help Electric-Power Industry to fast recognize customer's features, a multi-model of customer classification is proposed in this paper. On basis of big data presented by CCF competition sponsor in China, with some excellent technology or algorithm such as JieBa, SFFS and so on, we extract many important features and successfully draw a portrait for customers who pay close attention to electricity charges. Furthermore, machine learning algorithm and its the strategy selection model are investigated. Eventually, a multi-model is achieved, which can effective draw customer portrait and recognize targeted customer from big data. The result of experiment indicate that the multi-model has precision of 84%, good recall and excellent generalization.

引用

页码：562 / 564

页数：3