Cart (Loading....) | Create Account
Close category search window
 

Study of comprehensive evaluation method of undergraduates based on data mining

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Xie Wu ; Sch. of Appl. Sci. & Technol., Guilin Univ. of Electron. Technol., Guilin, China ; Huacheng Zhang ; Huimin Zhang

With expansion of university enrollment, the number of students increases every year, and information of their courses, scores and normal performance records also shows rapid expansion. More and more data of undergraduates have to be stored in database or data warehouse with the capacity increasing. It is difficult for teachers to finish comprehensive evaluation of over ten thousand students at the same time with the traditional methods of average scores, weighted average marks or Grade Point Average. The traditional ways are of some disadvantages of large error propagation, close results, small discrimination, low efficiency and poor scalability when facing mass assess data. Therefore, a new comprehensive evaluation method based on data mining of database or data warehouse of undergraduates is proposed. The method is carried out by decision tree algorithms. The results of case reveals that the decision tree algorithms of data mining technology can distinguish between the merits of the level of university students and realize the classification comprehensive evaluation, and the problem that the traditional methods are not fit for the student assessment of too much records and mass data is solved. The new method is of greater efficiency. It's an effective complement to traditional evaluation methods.

Published in:

Intelligent Computing and Integrated Systems (ICISS), 2010 International Conference on

Date of Conference:

22-24 Oct. 2010

Need Help?


IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.