| Issue |
MATEC Web of Conferences
Volume 22, 2015
International Conference on Engineering Technology and Application (ICETA 2015)
|
|
|---|---|---|
| Article Number | 01060 | |
| Number of page(s) | 5 | |
| Section | Information and Communication Technology | |
| DOI | https://doi.org/10.1051/matecconf/20152201060 | |
| Published online | 09 July 2015 | |
Research of the Occupational Psychological Impact Factors Based on the Frequent Item Mining of the Transactional Database
1 The Office of Moral Education Teaching-research, Department of Public Elementary Courses, Langfang Health Vocational College, Langfang, Hebei, China
2 Langfang Health Vocational College, Langfang, Hebei, China
Based on the massive reading of data mining and association rules mining documents, this paper will start from compressing transactional database and propose the frequent complementary item storage structure of the transactional database. According to the previous analysis, this paper will also study the association rules mining algorithm based on the frequent complementary item storage structure of the transactional database. At last, this paper will apply this mining algorithm in the test results analysis module of team psychological health assessment system, and will extract the relationship between each psychological impact factor, so as to provide certain guidance for psychologists in their mental illness treatment.
Key words: transactional database / frequent item mining / psychological impact factor analysis
© Owned by the authors, published by EDP Sciences, 2015
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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