JAIST Repository >
Center for Strategic Development of Science and Technology 2003-2008 >
JAIST PRESS Publications >
IFSR 2005 >

Please use this identifier to cite or link to this item: http://hdl.handle.net/10119/3905

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

Files in This Item:

File Description SizeFormat
20095.pdf129KbAdobe PDFView/Open

All items in DSpace are protected by copyright, with all rights reserved.


Contact : Library Information Section, Japan Advanced Institute of Science and Technology