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- KARIYAMA Kazuaki
- Graduate School of Informatics, Kyoto University
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- CUTURI Marco
- Graduate School of Informatics, Kyoto University
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- YAMAMOTO Akihiro
- Graduate School of Informatics, Kyoto University
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- KUBOYAMA Tetsuji
- Gakushuin University
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- FUKUMOTO Kentaro
- Gakushuin University
Bibliographic Information
- Other Title
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- 密度優先探索に基づくコミュニティ抽出と入札データ分析への応用
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Abstract
<p>In this research, we propose a new biclustering method for extracting communities from binary matrices which represent a binary relation. A binary relation can be represented as a bipartite graph or a binary matrix. Many effective clustering methods for extracting communities from graphs and matrices have been proposed. In this paper, the objective data is a bid data which represent a participation record of companies in bids. A community in bid data means a set of companies which often participated in multiple bids. We aim at applying the community extraction to finding bid rigging groups. In order to achieve the goal, we propose a biclustering method based on the density of bipartite graphs and the characteristic extraction by the nonnegative matrix factorization.</p>
Journal
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- JSAI Technical Report, SIG-FPAI
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JSAI Technical Report, SIG-FPAI 97 (0), 03-, 2015-03-18
The Japanese Society for Artificial Intelligence
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Details 詳細情報について
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- CRID
- 1390570022237675392
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- NII Article ID
- 130008061493
- 40020397665
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- NII Book ID
- AA11977943
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- ISSN
- 24364584
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- NDL BIB ID
- 026252964
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- Text Lang
- ja
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- Data Source
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- JaLC
- NDL
- CiNii Articles
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- Abstract License Flag
- Allowed