文章詳目資料
Asia Pacific Management Review ScopusTSSCI
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| 篇名 | Data Mining for Hazard Elimination through Text Information in Accident Report |
|---|---|
| 卷期 | 16:1 |
| 作者 | Shujiro Murayamaa 、 Koji Okuharab 、 Junko Shibatac 、 Hiroaki Ishiib |
| 頁次 | 065-081 |
| 關鍵字 | Knowledge discovery 、 risk management 、 text data mining 、 Scopus 、 TSSCI |
| 出刊日期 | 201103 |
中文摘要
英文摘要
Risk management is a management technique to process unexpected damage from various dangers at a minimum cost. It is important for the success of a project. In this paper, we try to extract the information concerning the risk by using the accident data in an actual enterprise.Our purpose is to extract the rule that avoids accidents from the accident data as a rule.Concretely, after making the scenario by using the KeyGraph,we
extract the rule by using the rough set.
本卷期文章目次
- The Learning Effect on Business Groups’ Subsequent Foreign Entry Decisions into Transitional Economies / Penga, Yu-shu、Yanga, Kuo-pin、Liang, Chin-chia
- Key Performance Indicators for Innovation Implementation: Perception vs.Actual Usage / Sukanlaya, Sawang
- Inertia: Spurious Loyalty or Action Loyalty? / Wu, Li-wei
- Clarifying the Effects of R&D on Performance: Evidence from the High Technology Industries / Wang, Chao-hung