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A New Evaluation System for Scholars and Majors Based on Big-Data Techniques

机译:基于大数据技术的学者和专业新评估系统

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摘要

A good scholar evaluation system is very important for students to select advisors and majors and for government to get a good policy of the educational resource. The factor of scholars should be the most important parameter in the various college rankings; however, it seems not appear in the college ranking since it is difficult to evaluate it. In this paper, we propose a new evaluation system for the evaluation of scholar co-author network and citation chain based on big-data technique. The evaluation results are very close to the survey in the professional area.
机译:良好的学者评估系统对于学生选择顾问和专业以及政府来获得良好的教育资源政策非常重要。学者因素应该是各种大学排名中最重要的参数;然而,它似乎没有出现在大学排名中,因为很难评估它。在本文中,我们提出了一种新的评估系统,用于基于大数据技术评估学者共同作者网络和引文链的评估。评估结果非常接近专业领域的调查。

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