文章詳目資料
Journal of Computers EIMEDLINEScopus
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| 篇名 | Association Rule Mining with Permutation for Estimating Students Performance and Its Smart Education System |
|---|---|
| 卷期 | 30:2 |
| 作者 | Nongnuch Ketui 、 Warawut Wisomka 、 Kanitha Homjun |
| 頁次 | 093-102 |
| 關鍵字 | apriori algorithm 、 association rule 、 education mining 、 permutation 、 smart education 、 EI 、 MEDLINE 、 Scopus |
| 出刊日期 | 201904 |
| DOI | 10.3966/199115992019043002008 |
中文摘要
英文摘要
Nowadays, Education Data Mining is the business domain to help the quality of institute. This paper proposed Association Rule Mining (ARM) to discover the interesting patterns between various academic achievements in dataset. To examine the experiment, we used 17,875 academic achievements within 483 students. Experimental result shown that 248 rules are return at confidence 0.2 and support 0.7 while the performance of the rules with a new set equals to 76.00% After getting the rules, we implement a smart education system as the web application for guiding the students registration.
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