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アイテム
データマイニング的手法を用いた適応的需要予測
http://hdl.handle.net/10069/26205
http://hdl.handle.net/10069/26205e60a0b98-04f8-401b-8a1e-a6d432fd7a54
名前 / ファイル | ライセンス | アクション |
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keizainenpo17_03.pdf (926.7 kB)
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Item type | 紀要論文 / Departmental Bulletin Paper(1) | |||||
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公開日 | 2011-11-01 | |||||
タイトル | ||||||
タイトル | データマイニング的手法を用いた適応的需要予測 | |||||
言語 | ||||||
言語 | jpn | |||||
資源タイプ | ||||||
資源タイプ識別子 | http://purl.org/coar/resource_type/c_6501 | |||||
資源タイプ | departmental bulletin paper | |||||
著者 |
杉原, 敏夫
× 杉原, 敏夫 |
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著者別名 | ||||||
識別子Scheme | WEKO | |||||
識別子 | 45332 | |||||
姓名 | Sugihara, Toshio | |||||
その他のタイトル | ||||||
その他のタイトル | An Adaptive Demand Forecasting Approach using Datamining Technique | |||||
抄録 | ||||||
内容記述タイプ | Abstract | |||||
内容記述 | Demand forecasting for Supply Chain Planning (SCP) is essential highly to obtain forecasting accuracy and real time outputs reflecting structural market changes. In this study, an adaptive demand forecasting approach adopting the data mining technique which detects the correlations between target factors and other related elements, is proposed. Including the scheme of the time series analysis based on the state space approach, this approach has two characteristic points. One is the state space which is formulated by principal components composed from various market ele-ments. The other is the self organization of the state space using a neural network. In regard to the latter feature, we previously introduced the modified General Method of Data Handling (modified GMDH) method into the self organization mechanism. Consequently, we achieved significantly higher accuracy using this approach compared to the previous approach. | |||||
書誌情報 |
経済学部研究年報 en : Annual review of economics 巻 17, p. 41-58, 発行日 2001-01-22 |
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ISSN | ||||||
収録物識別子タイプ | ISSN | |||||
収録物識別子 | 09108602 | |||||
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収録物識別子タイプ | NCID | |||||
収録物識別子 | AN10030515 | |||||
著者版フラグ | ||||||
出版タイプ | VoR | |||||
出版タイプResource | http://purl.org/coar/version/c_970fb48d4fbd8a85 | |||||
出版者 | ||||||
出版者 | 長崎大学経済学部 | |||||
出版者別言語 | ||||||
値 | Faculty of Economis, Nagasaki University | |||||
sortkey | ||||||
値 | 3 | |||||
引用 | ||||||
内容記述タイプ | Other | |||||
内容記述 | 経済学部研究年報, 17, pp.41-58; 2001 |