Development and application of next generation pattern recognition methods for user behavior analysis using large scale log data
| Project/Area Number |
26560167
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| Research Category |
Grant-in-Aid for Challenging Exploratory Research
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| Allocation Type | Multi-year Fund |
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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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| 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 |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2016: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2015: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
Fiscal Year 2014: ¥1,170,000 (Direct Cost: ¥900,000、Indirect Cost: ¥270,000)
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| Keywords | 大規模データ / 大規模ログデータ / パターン認識 / 機械学習 / ユーザ行動 / 潜在クラスモデル / テキストマイニング / 時系列分析 |
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| Outline of Final Research Achievements |
The objective of this study is to develop next-generation pattern recognition methods for management decision making and marketing technology through the analysis of user behaviors based on large-scale log data accumulated in databases such as EC sites. While analyzing actual user behavior history data, we studied new models and methods which are theoretically considered highly versatile. In particular, we developed a machine learning model for developing the issuing logic for real-time coupon ticket systems from multiple viewpoints on users' page browsing behaviors on an EC site. The performances of our proposed models and analytical techniques were verified by using actual data and various applications were demonstrated.
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Report
(4 results)
Research Products
(70 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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