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Article type: Cover
Pages
Cover1-
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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Article type: Appendix
Pages
App1-
Published: June 12, 2013
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Article type: Index
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Toc1-
Published: June 12, 2013
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Article type: Appendix
Pages
App2-
Published: June 12, 2013
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Article type: Appendix
Pages
App3-
Published: June 12, 2013
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[in Japanese]
Article type: Article
Pages
7-32
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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Article type: Appendix
Pages
33-
Published: June 12, 2013
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[in Japanese], [in Japanese], [in Japanese]
Article type: Article
Session ID: 1-1
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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[in Japanese], [in Japanese], [in Japanese]
Article type: Article
Session ID: 1-2
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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Naoki HATAKEYAMA, Yumeko MIYACHI, Yasushi KURIHARA, Toshiaki KABURAGI
Article type: Article
Session ID: 1-3
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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Ryuichi YOSHIOKA, Ritsuko MATSU'RA, Yuki KOSAKA, Kazuyuki SUZUKI
Article type: Article
Session ID: 1-4
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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Article type: Appendix
Pages
49-
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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Yudai YAMAZAKI, Kazuyuki SUZUKI
Article type: Article
Session ID: 2-1
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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[in Japanese], [in Japanese], [in Japanese]
Article type: Article
Session ID: 2-2
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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Yoshifumi SHIBATA
Article type: Article
Session ID: 2-3
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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[in Japanese], [in Japanese]
Article type: Article
Session ID: 2-4
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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Article type: Appendix
Pages
67-
Published: June 12, 2013
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Masakazu TOKUNAGA, Hideo HIROSE
Article type: Article
Session ID: 3-1
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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The matrix decomposition is one of the most powerful methods in recommendation systems. In the recommendation system, even if evaluation values in a matrix where users and items are corresponding to row and column are provided incompletely, we can predict the vacant elements of the matrix using the observed values. This method is applied to a variety of the fields, e.g., for movie recommendations, music recommendations, book recommendations, etc. In this paper, we have applied the matrix decomposition method to predict the seasonal infectious disease spread prediction such as streptococcal pharingitis cases, influenza, and etc., and we have found that the proposed method has an ability for prediction equivalent to the traditional time series analysis such as ARIMA when the seasonality is apparently shown.
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Daisuke TANADA, Tsutomu ISHIDA, Watalu YAMAMOTO, Ryo ENDO, Kazuyuki SU ...
Article type: Article
Session ID: 3-2
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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[in Japanese]
Article type: Article
Session ID: 3-3
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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[in Japanese]
Article type: Article
Session ID: 3-4
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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Article type: Appendix
Pages
85-
Published: June 12, 2013
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Lu JIN, Kazuyuki SUZUKI
Article type: Article
Session ID: 4-1
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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hiroshi SHIDA, mikio KINOSHITA, hirofumi OOGUSHI
Article type: Article
Session ID: 4-2
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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Madoka KITA, Takeshi NATSUME
Article type: Article
Session ID: 4-3
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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Article type: Cover
Pages
Cover2-
Published: June 12, 2013
Released on J-STAGE: February 09, 2018
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