| Autor: |
Cheng Dongmei, Zuo Xuejun, Liu Zhaohua |
| Jazyk: |
English<br />French |
| Rok vydání: |
2015 |
| Předmět: |
|
| Zdroj: |
MATEC Web of Conferences, Vol 22, p 01060 (2015) |
| Druh dokumentu: |
article |
| ISSN: |
2261-236X |
| DOI: |
10.1051/matecconf/20152201060 |
| Popis: |
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. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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