摘要
A goal database and an auxiliary database utilizing functional mapping make the database combine as a great database, then imputes the missing data or the rare data missing in the database. In order to improve the data analysis efficiency, this research proposed the Data SPA (Data Systematic Purifying Analysis) to purify the data systematically. This research has applied three kinds of methods to evaluate the data. After the process of the Data SPA, it can be easily understand that the Data SPA really has good effect on data mining, because it can increase the amount of information of the data and improve the data evaluation efficiency.
| 原文 | 英語 |
|---|---|
| 主出版物標題 | 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 |
| 頁面 | 287-290 |
| 頁數 | 4 |
| 卷 | 4 |
| DOIs | |
| 出版狀態 | 已發佈 - 2009 |
| 對外發佈 | 是 |
| 事件 | 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 - Los Angeles, CA, 美国 持續時間: 3月 31 2009 → 4月 2 2009 |
其他
| 其他 | 2009 WRI World Congress on Computer Science and Information Engineering, CSIE 2009 |
|---|---|
| 國家/地區 | 美国 |
| 城市 | Los Angeles, CA |
| 期間 | 3/31/09 → 4/2/09 |
ASJC Scopus subject areas
- 電腦科學應用
- 硬體和架構
- 資訊系統
- 軟體