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http://hdl.handle.net/10119/3905
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Title: | Knowledge Discovery of Interview Survey on Fresh Food Management |
Authors: | Ryoke, Mina Yamashita, Yukihiro Hori, Kiichiro Nakamori, Yoshiteru |
Keywords: | Text mining knowledge extraction interview survey knowledge management on fresh foods |
Issue Date: | Nov-2005 |
Publisher: | JAIST Press |
Abstract: | 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. |
Description: | 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 |
Language: | ENG |
URI: | http://hdl.handle.net/10119/3905 |
ISBN: | 4-903092-02-X |
Appears in Collections: | IFSR 2005
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