Research on Employment Data Mining for Higher Vocational Graduates

Abstract:

In order to make effective use a large amount of graduate data in colleges and universities that accumulate by teaching management of work, the paper study the data mining for higher vocational graduates database using the data mining technology. Using a variety of data preprocessing methods for the original data, and the paper put forward to mining algorithm based on commonly association rule Apriori algorithm, then according to the actual needs of the design and implementation of association rule mining system, has been beneficial to the employment guidance of college teaching management decision and graduates of the mining results.

• Periodical: Applied Mechanics and Materials (Volume 686)
• Pages: 290-294
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.686.290
• Online since: October 2014
• Authors: Feng Lin*
• Keywords: Association Rule, Data Mining, Graduates Database, Improved Apriori Algorithm

References

[1] Liu Qingfeng. Application of data warehouse and data mining in decision support system [J]. Heilongjiang science and technology information,. 2010. (9): 10-13.

[2] Li Shenglin, Wulan mu. Analysis of data mining based on demand[J]. Chinese mechanical engineering. 2003. 3 (14). 5.

[3] Hu seafarers. Research and application of data warehouse and data mining technology in the admissions decision [D]. master's degree thesis of Southeast University, 2006. 6.

[4] Xu Yong, Zhou Senxin. An improved method of mining association rules. the development of computer technology, 2006 (03): 77-79.