Research on the Design of Enterprise Salary System based on Data Mining Technology

被引：0

作者：

Guan, Xiaoyue ^{[1
]}

Yang, Bo ^{[2
]}

机构：

[1] CUIT, Yinxing Hospitality Management Coll, Chengdu 611743, Sichuan, Peoples R China

[2] Sichuan Acad Social Sci, Chengdu 610000, Sichuan, Peoples R China

来源：

PROCEEDINGS OF THE 2017 2ND INTERNATIONAL CONFERENCE ON EDUCATION, SPORTS, ARTS AND MANAGEMENT ENGINEERING (ICESAME 2017) | 2017年 / 123卷

关键词：

Data Mining; Salary System; Enterprise Management;

D O I：

暂无

中图分类号：

C [社会科学总论];

学科分类号：

03 ; 0303 ;

摘要：

At present, it is difficult to deal with a large amount of data, and it is more difficult to find the intrinsic factors influencing the salary design from these large numbers of data. So, modern enterprise pay design process to face a large number of complex information and data, and data mining technology in dealing with large amounts of data has a unique advantage. In this paper, the data analysis process in salary design is the main line, and how to analyze and deal with the data mining techniques such as classification, clustering and association rules and It provides strong decision support for pay design.

引用

页码：1065 / 1068

页数：4

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