Analyzing bids on public projects based on knowledge discovery from discrete data structures
| Project/Area Number |
23500185
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| Research Category |
Grant-in-Aid for Scientific Research (C)
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| Allocation Type | Multi-year Fund |
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| Section | 一般 |
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| Research Field |
Intelligent informatics
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| Research Institution | Gakushuin University |
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Principal Investigator |
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| Co-Investigator(Kenkyū-buntansha) |
FUKUMOTO Kentaro 学習院大学, 法学部, 教授 (50272414)
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| Project Period (FY) |
2011 – 2013
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| Project Status |
Completed (Fiscal Year 2013)
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| Budget Amount *help |
¥5,070,000 (Direct Cost: ¥3,900,000、Indirect Cost: ¥1,170,000)
Fiscal Year 2013: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2012: ¥1,560,000 (Direct Cost: ¥1,200,000、Indirect Cost: ¥360,000)
Fiscal Year 2011: ¥1,950,000 (Direct Cost: ¥1,500,000、Indirect Cost: ¥450,000)
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| Keywords | データマイニング / グラフマイニング / 公共事業入札 / ネットワーク分析 / グラフ構造 / グラフ編集距離 |
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| Research Abstract |
This study aims to develop new methods for analyzing structural transitions of time-series graphs representing relationships among companies in bids on local government contracts, in addition to the conventional numerical methods such as regression analysis of bid rates. The effectiveness of the proposed methods have been shown by analyzing computer operation data, and social media data as the testbeds. Also, the database of bids has been created for twelve local governments.
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Report
(4 results)
Research Products
(52 results)
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[Journal Article] A subpath kernel for rooted unordered trees2011
Author(s)
D. Kimura, T. Kuboyama, T. Shibuya, and H. Kashima
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Journal Title
In 15th Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD), volume 6634 of Lecture Notes in Computer Science
Pages: 62-74
DOI
NAID
ISBN
9783642208409, 9783642208416
Related Report
Peer Reviewed
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