完整後設資料紀錄
| DC 欄位 | 值 | 語言 |
|---|---|---|
| dc.contributor.author | Yu, Pao-Ta | |
| dc.contributor.author | Own, Chung-Ming | |
| dc.date.accessioned | 2009-06-02T06:19:39Z | |
| dc.date.accessioned | 2020-05-25T06:38:52Z | - |
| dc.date.available | 2009-06-02T06:19:39Z | |
| dc.date.available | 2020-05-25T06:38:52Z | - |
| dc.date.issued | 2006-10-26T01:40:53Z | |
| dc.date.submitted | 2000-12-08 | |
| dc.identifier.uri | http://dspace.lib.fcu.edu.tw/handle/2377/2586 | - |
| dc.description.abstract | A novel algorithm for forecasting the relationship of time series is proposed to address two important issues: how to combine the fuzzy time series and association rule, and how to improve efficiency and simplicity without losing the accuracy. A complete procedure is proposed and the results of this algorithm show more efficient than those of the methods proposed in previous studies on the application of forecasting enrollments. | |
| dc.description.sponsorship | 中正大學,嘉義縣 | |
| dc.format.extent | 7p. | |
| dc.format.extent | 146208 bytes | |
| dc.format.mimetype | application/pdf | |
| dc.language.iso | zh_TW | |
| dc.relation.ispartofseries | 2000 ICS會議 | |
| dc.subject.other | Data Mining & Knowledge-Based Systems | |
| dc.title | Mining Time Series Data with Fuzzy Association Rules | |
| 分類: | 2000年 ICS 國際計算機會議 | |
文件中的檔案：
| 檔案 | 描述 | 大小 | 格式 | |
|---|---|---|---|---|
| ce07ics002000000037.pdf | 142.78 kB | Adobe PDF | 檢視/開啟 |
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