2015 Fiscal Year Research-status Report
n次元データマイニングによる進化型消費者行動モデリング
| Project/Area Number |
25330270
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| Research Institution | Hosei University |
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Principal Investigator |
Huang Runhe 法政大学, 情報科学部, 教授 (00254102)
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| Co-Investigator(Kenkyū-buntansha) |
Jianhua Ma 法政大学, 情報科学部, 教授 (70295426)
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| Project Period (FY) |
2013-04-01 – 2017-03-31
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| Keywords | Big Data / Knowledge Fusion / Business Wisdow / Big Personal Data / Cyber-I / Knowledge Repository / Unified Structure / Application Driven |
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| Outline of Annual Research Achievements |
研究実績の概要（～平成）28年3月31日）
In year 2015, our research was focused on
(1) continuously verifying and improving our business wisdom (BW) framework with the implementation results of business knowledge discovery and insight mining from retail business datasets; (2) Improving our data-information-knowledge (KID) model with the concept of unified structure and data driven pragmatic implementation approach; (3) Proposing and designing a knowledge repository (K-Store) for KID model and applying to a retail business case study; (4) Designing and implementing an application driven knowledge discovery and fusion planning algorithms for wisdom business and demonstrating with the case study of the retail business; (5) Personalized business intelligence model is further enhanced with consideration of personal big data (PBD) mining on the Cyber-I (Cyber-Individual) platform.
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| Current Status of Research Progress |
Current Status of Research Progress
2: Research has progressed on the whole more than it was originally planned.
Reason
研究計画の通り順調に進展しました。
平成２７年度の研究成果は雑誌論文2件、学会論文5件
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| Strategy for Future Research Activity |
In year 2016, based on our achievements in year 2013, 2014 and 2015, our research will be focused on
(1) Finalizing the n-dimensional big data mining based business wisdom model; (2) Incorporating KID model, data mining engine, knowledge fusion engine into the business wisdom model; (3) Incorporating the Cyber-customer individual model into the business wisdom model; (4) Seeking for a real business application and practical collaboration with retail business companies, and pushing our business wisdom model into practical use; and (5) Promoting our research results worldwide and publishing our research results in international conferences and journals.
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| Causes of Carryover |
In this year, we were planning to attend more international conferences and allocated more budgets to overseas travels. However, due to our busy schedule on research and development we did not make time to some overseas travels. Instead, we submitted our presentation slides and played in the conference sites. Moreover, we published our research results to the international journals instead of international conference in such way we reduced our oversea travels and used less the allocated budget than we expected and planned.
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| Expenditure Plan for Carryover Budget |
We will use the budget to have more collaboration with related research groups and teams by visiting them and exchanging ideas and research results with them. Meanwhile, we will make more travels to attend international conferences for having more opportunities to promoting our research achievements worldwide. Moreover, we will allocate the budget to complete the implementation of K-Store (a knowledge respository) and knowedge fusion engine.
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