Research and Development Direction Recommendation Method for Universities Based on Big Data Mining

A big data and university technology, applied in the field of scientific research management in universities, can solve the problems of large differences in recommendation recommendations, limited data and data, and inability to form recommendations for research and development directions, and achieve the effect of avoiding subjective judgment errors and accurate research and development directions.

Active Publication Date: 2022-03-11
NINGBO UNIV
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Problems solved by technology

[0004] However, the existing methods for recommending research and development directions in universities are mainly based on the manual analysis of various materials and a large amount of data of the university by the staff of the scientific research department. Recommendations rely too much on manual judgment and analysis, and because different staff members have different interpretations and analyzes of the same data, the recommendations for research and development directions formed by different personnel using the same data are quite different, and it is impossible to form a more comprehensive, objective and in-line university. R&D direction recommendations for actual R&D needs

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  • Research and Development Direction Recommendation Method for Universities Based on Big Data Mining
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  • Research and Development Direction Recommendation Method for Universities Based on Big Data Mining

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Embodiment Construction

[0078] The present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments.

[0079] This embodiment provides a method for recommending research and development directions of colleges and universities based on big data mining, which specifically includes the following steps:

[0080] Step 1, using the management system 11 of the scientific research office to establish the information database of scientific research personnel in the university to which it belongs; wherein, the information database of scientific research personnel in the school includes the basic information database of scientific research personnel in the school, the scientific research achievement database of scientific research personnel in the school, and the scientific research project database of scientific research personnel in the school;

[0081] The basic information database of scientific research personnel in the school includes the name, age, ...

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Abstract

The invention relates to a method for recommending research and development directions of colleges and universities based on big data mining. The management system of the scientific research office is based on the information database of scientific research personnel in the colleges to which it belongs, and according to the acquired subject ranking list and preset subject keywords of ordinary colleges and universities nationwide. , to obtain the comprehensive strength influence coefficient corresponding to each university, and based on the scientific research results of each university, analyze and obtain the IPC subcategory number of each university's current R&D and the subject ranking of each IPC subcategory in the country The contribution weight value in the list is used to obtain the scientific research strength value of each university, and the differentiated IPC subcategory number corresponding to the maximum contribution weight value is used as the preferred recommended research direction of the university discipline to which the scientific research office management system belongs, and more attention is paid to the use of big data The scientific research data is used as the data mining source for the recommended analysis of R&D directions, avoiding the subjective judgment errors that exist in the traditional manual analysis of R&D directions.

Description

technical field [0001] The invention relates to the field of scientific research management in colleges and universities, in particular to a method for recommending research and development directions in colleges and universities based on big data mining. Background technique [0002] As an important part of national higher education, colleges and universities must not only undertake the national higher education plan, but also undertake various scientific research projects, so as to gradually promote the development of comprehensive strength of colleges and universities themselves. As colleges and universities urgently need to improve their own comprehensive strength, they constantly adjust their research and development direction (or research direction) of various disciplines, balance the research and development balance between strong and weak disciplines, and determine the research and development direction that meets their own development needs. For colleges and universi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F16/2457G06F16/2458G06Q10/06
CPCG06F16/2457G06F16/2462G06Q10/0639
Inventor 王尧尧
Owner NINGBO UNIV
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