A method for Knowledge Creation and Knowledge Utilization by Generalized Inverse Operator for Big Data
| Project/Area Number |
15K12024
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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 |
Multimedia database
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| Research Institution | University of Tsukuba |
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Principal Investigator |
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| Co-Investigator(Renkei-kenkyūsha) |
KIYOKI Yasushi 慶應義塾大学, 環境情報学部, 教授 (10169956)
Sakurai Tetsuya 筑波大学, システム情報系, 教授 (60187086)
NAKANISHI Takafumi 国際大学, GLOCOM, 准教授 (80435784)
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| Project Period (FY) |
2015-04-01 – 2018-03-31
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| Project Status |
Completed (Fiscal Year 2017)
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| Budget Amount *help |
¥3,510,000 (Direct Cost: ¥2,700,000、Indirect Cost: ¥810,000)
Fiscal Year 2017: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2016: ¥1,040,000 (Direct Cost: ¥800,000、Indirect Cost: ¥240,000)
Fiscal Year 2015: ¥1,430,000 (Direct Cost: ¥1,100,000、Indirect Cost: ¥330,000)
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| Keywords | 知識創造 / 一般化逆作用素 / メディア情報学 / 情報数理 / 数値解析 / データ・サイエンス / 逆問題 / 知識創造サイクルモデル / ビッグデータ分析 / マルチメディアデータベース / マルチメディア・データベース |
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| Outline of Final Research Achievements |
We developed "A Method of Knowledge Creation and Knowledge Utilization” by Generalized Inverse Operator" for Big Data, We established a model by regarding the Knowledge creating Operator and the Knowledge Utilization Operator as the inverse operator mutually.
The main problem is the creating the inverse operator is not well-posed and we cannot construct the inverse operator properly, We need some auxiliary conditions and probabilistic process to the problem. We succeeded to make the problem well-posed by combining the auxiliary constrained conditions, notion of generalized inverses and probabilistic conditions. We applied this method to 3 different class of problems and sucessfully implemented the method to the system.
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Report
(4 results)
Research Products
(9 results)
