Visual Analysis on Management of Postgraduate Degrees

  • Chen Ling
  • Xue-qing Li
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 269)


In recent years, the pressure in the management of university degrees is larger and larger with the growing number of college graduates. At the same time, the phenomenon that a large number of students can’t graduate on time arises. But now there are no effective methods to solve these problems. In order to solve problems above effectively, we treat each student’s graduation process as a process of state changes and analyses of data created during the process of degree management. Then by visually analyzing of the process of the degree management, we can get a comprehensive grasp of the whole procedure and find out methods for optimizing and controlling the entire process; by visually analyzing cases of students’ failing to obtain degrees, we can find out the main reason why they can’t graduate on time and meanwhile provide convincing suggestions on how to solve these problems; by visually analyzing data created during anomalistic procedures, we can identify the implicit defects and deficiencies in the process; by visually analyzing the failing rates of different types of students over the years, we succeed in investigating the causes of their failing to graduate. All the works we do above make it have a deep and comprehensive understanding of degree managements which provides theoretical supports for the decisions of the leadership.


Degree management Data analysis Data visualization 


  1. 1.
    Yu P, Yan H (2008) Application of Jfreechart in network performance management system. Comput Eng Des 29(16)Google Scholar
  2. 2.
    Wang Y, Ding Y, Sun Y, Zhao Z (2007) Research on data visualization implementation methods. Mod electr technol 4Google Scholar
  3. 3.
    Liu K, Zhao X, Zhao D (2002) Data visualization research and development. Comput Eng 28(8)Google Scholar
  4. 4.
    Gao J, Ding K (2009) Analysis through visualizing the patent research articles. J intell 28(7)Google Scholar
  5. 5.
    Chen J, Yu Z, Zhu Y (2001) Data visualization and its applications. Infrared Laser Eng 30(5)Google Scholar
  6. 6.
    Zhang W, Li X (2002) Research and implementation of web-based visualization. Comput Eng Sci 24(3)Google Scholar
  7. 7.
    Wang R, Zhang N, Wan X (2005) A kind of web statistic chart based on Jfreechart. Microcomput Dev 15(3)Google Scholar

Copyright information

© Springer Science+Business Media Dordrecht 2014

Authors and Affiliations

  1. 1.Department of computer science and technologyShandong UniversityShandongPeople’s Republic of China

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