| Presentation | 2015-03-06 Parallel Distributed Clustering Algorithm with Node Partition and Aggregation in Large-Scale Graphs Riku ASAYAMA, Kohei SAKURAI, Satoshi YAMANE, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In this paper, we propose the rapid clustering method with the large-scaled graph structured data. Our approach is a data parallel distributedclustering algorithm that is based on node partition and aggregation. The goal of this paper is to efficiently compute clusters with high modularity from unprecedented size of graphs that have more than a few billion edges. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Big Data / Graph Structured Data / Clustering / Parallel Distributed Processing |
| Paper # | MSS2014-101 |
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| Committee | MSS |
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| Conference Date | 2015/2/26(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Mathematical Systems Science and its applications(MSS) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Parallel Distributed Clustering Algorithm with Node Partition and Aggregation in Large-Scale Graphs |
| Sub Title (in English) | |
| Keyword(1) | Big Data |
| Keyword(2) | Graph Structured Data |
| Keyword(3) | Clustering |
| Keyword(4) | Parallel Distributed Processing |
| 1st Author's Name | Riku ASAYAMA |
| 1st Author's Affiliation | Graduate School of Natural Science and Technology, Kanazawa University() |
| 2nd Author's Name | Kohei SAKURAI |
| 2nd Author's Affiliation | Graduate School of Natural Science and Technology, Kanazawa University |
| 3rd Author's Name | Satoshi YAMANE |
| 3rd Author's Affiliation | Graduate School of Natural Science and Technology, Kanazawa University |
| Date | 2015-03-06 |
| Paper # | MSS2014-101 |
| Volume (vol) | vol.114 |
| Number (no) | 493 |
| Page | pp.pp.- |
| #Pages | 6 |
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