Study on Continuing Education in Enterprises Based on Data Mining Technology in China

机译：基于数据挖掘技术的中国企业继续教育研究

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One of the most important facts in the continuing education system in China is quality. Data mining is a process of discovering new, meaningful and interesting information directly from large amounts of data about students, courses, staff including lecturers, organizational personnel, managerial systems and so on. The most striking features of this technique are clustering and prediction. Combines data mining with the system of educational administration and find useful information which concealed in large amount of data, then have these resources effectively organized, sorted and extracted in the continuing education systems in enterprises in China.

机译：在中国的继续教育体系中，最重要的事实之一就是质量。数据挖掘是直接从大量有关学生，课程，人员（包括讲师，组织人员，管理系统等）的数据中发现新的，有意义的和有趣的信息的过程。该技术最显着的特征是聚类和预测。将数据挖掘与教育管理系统相结合，找到隐藏在大量数据中的有用信息，然后在中国企业继续教育系统中有效地组织，分类和提取这些资源。

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来源
《2009 International Conference on Growth of Firm and Management Innovation(2009企业成长与管理创新国际学术会议）》|2009年|365-369|共5页
会议地点 Langfang(CN)
作者
HE Xuefeng; DENG Chengqi;
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作者单位

The Key RD Center for Finance of Chongqing, Chongqing Institute of Technology, Chongqing;

Library of Chongqing, Institute of Technology, Institute of Technology, Chongqing, China, 400050;

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会议组织
原文格式 PDF
正文语种 eng
中图分类
关键词
Teaching Management; Teaching Evaluation; Data Mining;

机译：教学管理;教学评估;数据挖掘;

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Study on Continuing Education in Enterprises Based on Data Mining Technology in China

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