Fundamental study on business analytics technologies on big data era
| Project/Area Number |
26282090
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| Research Category |
Grant-in-Aid for Scientific Research (B)
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| Allocation Type | Partial Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Social systems engineering/Safety system
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| Research Institution | Waseda University |
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Principal Investigator |
Goto Masayuki 早稲田大学, 理工学術院, 教授 (40287967)
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| Co-Investigator(Kenkyū-buntansha) |
三川 健太 早稲田大学, 理工学術院, 助手 (40707733)
平澤 茂一 早稲田大学, 理工学術院, 名誉教授 (30147946)
須子 統太 早稲田大学, 社会科学総合学術院, 講師 (40409660)
堀井 俊佑 早稲田大学, 付置研究所, 助教 (00552150)
小林 学 湘南工科大学, 工学部, 教授 (80308204)
鈴木 誠 湘南工科大学, 工学部, 教授 (80339796)
山下 遥 早稲田大学, 理工学術院, 助手 (90754797)
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| Project Period (FY) |
2014-04-01 – 2017-03-31
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| Project Status |
Completed (Fiscal Year 2016)
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| Budget Amount *help |
¥15,730,000 (Direct Cost: ¥12,100,000、Indirect Cost: ¥3,630,000)
Fiscal Year 2016: ¥4,420,000 (Direct Cost: ¥3,400,000、Indirect Cost: ¥1,020,000)
Fiscal Year 2015: ¥4,290,000 (Direct Cost: ¥3,300,000、Indirect Cost: ¥990,000)
Fiscal Year 2014: ¥7,020,000 (Direct Cost: ¥5,400,000、Indirect Cost: ¥1,620,000)
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| Keywords | ビジネスアナリティクス / 大規模データ / ビッグデータ / マーケティングモデル / 経営情報分析 / レコメンデーション / 経営工学 / 統計モデル / Webマーケティング / 機械学習 |
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| Outline of Final Research Achievements |
The objective of this study is to develop and deepen large-scale and diverse business data analytical technology (business analytics), propose new analytical models corresponding to various business data.
Specifically, we promoted research on the following individual themes: 1) development of data analytics technology for database information on EC sites, 2) development of analytical technique of marketing information accumulated as text data, 3) development of statistical model for recommendar systems, 4) Theoretical analysis of Web marketing model using information retrieval and recommendation technology, 5) Development of analytical method for high dimensional and sparse large scale data, 6) Development of privacy protection data analysis technology.
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Report
(4 results)
Research Products
(136 results)
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[Presentation] An Approximate Bayesian Prediction Algorithm Based on Ensemble Learning2016
Author(s)
Takumi Arai, Yusei Yamamoto, Kenta Mikawa, Masayuki Goto
Organizer
The 7th Forum for Council of Industrial Engineering and Logistics Management Department Heads (CIEDH2016) & The 5th Institute of Industrial and Systems Engineering Asian Conference (IISEAsia2016)
Place of Presentation
Hong Kong, China
Year and Date
2016-07-21
Related Report
Int'l Joint Research
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[Presentation] A Modified Aspect Model for Simulation Analysis2014
Author(s)
Masayuki Goto, Kazushi Minetoma, Kenta Mikawa, Manabu Kobayashi, Shigeichi Hirasawa
Organizer
2014 IEEE International Conference on Systems, Man, and Cybernetics (IEEE SMC2014)
Place of Presentation
San Diego, USA
Year and Date
2014-10-05 – 2014-10-08
Related Report
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[Presentation] 出席状況把握システムSAMSとその解析2014
Author(s)
小林学，大谷真，梅澤克之，後藤正幸，平澤茂一
Organizer
経営情報学会 2014年春季全国研究発表大会
Place of Presentation
青山学院大相模原キャンパス，神奈川
Year and Date
2014-05-31 – 2014-06-01
Related Report
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