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IFSR 2005 >
このアイテムの引用には次の識別子を使用してください:
http://hdl.handle.net/10119/3905
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| タイトル: | Knowledge Discovery of Interview Survey on Fresh Food Management |
| 著者: | Ryoke, Mina
Yamashita, Yukihiro
Hori, Kiichiro
Nakamori, Yoshiteru |
| キーワード: | Text mining
knowledge extraction
interview survey
knowledge management on fresh foods |
| 発行日: | Nov-2005 |
| 出版者: | JAIST Press |
| 抄録: | In this paper, the analysis of the questionnaire survey to managers on food processing is introduced. Management of losses due to out of stock and surplus stock in a retail food store are well known as an important element in fresh food management. The manager who has a responsibility in side dishes area faces difficult decisions on food processing such as quantitative and qualitative arrangement. So, interview investigation is carried out to the manager of the side dishes section. The purpose is to explore elements which the managers usually focus on decide kinds of side dishes and amount of processing foods, and pay attention to avoid opportunity of loss and spoiling loss. According to the analysis, their knowledge is extracted by a technique of text mining. |
| 記述: | The original publication is available at JAIST Press http://www.jaist.ac.jp/library/jaist-press/index.html
IFSR 2005 : Proceedings of the First World Congress of the International Federation for Systems Research : The New Roles of Systems Sciences For a Knowledge-based Society : Nov. 14-17, 2115, Kobe, Japan
Symposium 5, Session 1 : Data/Text Mining from Large Databases Data Mining |
| 言語: | ENG |
| URI: | http://hdl.handle.net/10119/3905 |
| ISBN: | 4-903092-02-X |
| 出現コレクション: | IFSR 2005
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このアイテムのファイル:
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記述 |
サイズ | 形式 |
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| 20095.pdf | | 129Kb | Adobe PDF | 見る/開く |
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