Full metadata record
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 梁意文 | en_US |
| dc.date.accessioned | 2021-12-28T02:59:18Z | - |
| dc.date.available | 2021-12-28T02:59:18Z | - |
| dc.date.issued | 2017-09 | - |
| dc.identifier.citation | Chinese Journal of Electronics,2017,26(05):986-992. | en_US |
| dc.identifier.issn | 1022-4653 | - |
| dc.identifier.uri | http://ir.wsyu.edu.cn/handle/470302/9108 | - |
| dc.description.abstract | This paper presents a Provenance-based what-if analysis approach(PBWA) for data mining processes,so decision makers can examine the latest mining result under hypothetical business contexts.It fills the gap that data mining only reveals past status of enterprises with historical data.Provenance information is a kind of metadata of data mining processes.PBWA uses it to identify relevant operation path and intermediate results that is affected by hypothetical business contexts.It refreshes the mining result by partially rerunning the affected portions.Different from previous studies only for relational operations,PBWA can take more general operations into account.Besides,it focuses on the whole mining processes.Experiments demonstrate that when the affected ratio is less than 74% and 87% in different contexts,PBWA can achieve better time performance. | en_US |
| dc.description.sponsorship | supported by the National Natural Science Foundation of China(No.61170306)； | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Chinese Journal of Electronics | en_US |
| dc.subject | Data | - |
| dc.subject | mining | - |
| dc.subject | What-if | - |
| dc.subject | analysis | - |
| dc.subject | Data | - |
| dc.subject | provenance | - |
| dc.subject | (PROV) | - |
| dc.title | A Provenance-Based What-If Analysis Approach for Data Mining Processes | en_US |
| dc.type | Journal | en_US |
| dc.affiliated.units | 武汉大学 | en_US |
| dc.contributor.allauthor | KE Jie；DONG Hongbin；TAN Chengyu；LIANG Yiwen | - |
| Appears in Collections: | 信科院办公室 |
|
Original Search
