A study on probabilistic prediction of network traffic using adaptive quantile regression
Project/Area Number |
19700261
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Research Category |
Grant-in-Aid for Young Scientists (B)
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Allocation Type | Single-year Grants |
Research Field |
Statistical science
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Research Institution | Nagoya Institute of Technology (2008-2009) Mie University (2007) |
Principal Investigator |
TAKEUCHI Ichiro Nagoya Institute of Technology, 工学研究科, 准教授 (40335146)
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Project Period (FY) |
2007 – 2009
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Project Status |
Completed (Fiscal Year 2009)
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Budget Amount *help |
¥2,160,000 (Direct Cost: ¥1,800,000、Indirect Cost: ¥360,000)
Fiscal Year 2009: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2008: ¥780,000 (Direct Cost: ¥600,000、Indirect Cost: ¥180,000)
Fiscal Year 2007: ¥600,000 (Direct Cost: ¥600,000)
|
Keywords | データマイニング / 機械学習 / 異常値検出 / 分位点回帰分析 / 統計的機械学習 / パラメトリック計画法 / 凸最適化 / 適応的アルゴリズム / 異常検出 / 統計モデル / 適応推定 / コンピュータネットワーク / 位置尺度モデル / 多層パーセプトロン / 線形計画法 / カーネル法 |
Research Abstract |
We developed an adaptive algorithm quantile regression algorithm for detecting the anomaly in computer network traffic. We demonstrated the effectiveness of the algorithm by applying it to various practical problems.
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Report
(4 results)
Research Products
(26 results)
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[Journal Article] Genome-wide analysis of DNA copy number alterations and gene expression in gastric cancer2008
Author(s)
Y. Tsukamoto, T, Uchida, S. Karnan, T. Noguchi, N. Tung, M. Tanigawa, I. Takeuchi, K. Matsuura, N. Hijiya, C. Nakada, T. Kishida, H. Ito, K. Murakami, T. Fuiioka. M. Seto and M. Morivama
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Journal Title
Journal of Pathology 216
Pages: 471-482
Related Report
Peer Reviewed
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