文献
J-GLOBAL ID:201902242042670998
整理番号:19A0232784
確率的ブロックモデルと特許引用ネットワークからの長期短期記憶を用いたコミュニティ検出と成長ポテンシャル予測【JST・京大機械翻訳】
Community Detection and Growth Potential Prediction Using the Stochastic Block Model and the Long Short-term Memory from Patent Citation Networks
著者 (8件):
Nakai Kensei
(Department of Information and Management Systems Engineering, Nagaoka University of Technology, Nagaoka, Japan)
,
Nonaka Hirofumi
(Department of Information and Management Systems Engineering, Nagaoka University of Technology, Nagaoka, Japan)
,
Hentona Asahi
(Department of Information and Management Systems Engineering, Nagaoka University of Technology, Nagaoka, Japan)
,
Kanai Yuki
(Department of Information and Management Systems Engineering, Nagaoka University of Technology, Nagaoka, Japan)
,
Sakumoto Takeshi
(Department of Information and Management Systems Engineering, Nagaoka University of Technology, Nagaoka, Japan)
,
Kataoka Shotaro
(Department of Information and Management Systems Engineering, Nagaoka University of Technology, Nagaoka, Japan)
,
Carreon Elisa Claire Aleman
(Department of Information and Management Systems Engineering, Nagaoka University of Technology, Nagaoka, Japan)
,
Hiraoka Toru
(Department of Information Systems, University of Nagasaki, Nagasaki, Japan)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2018
号:
IEEM
ページ:
1884-1888
発行年:
2018年
JST資料番号:
W2441A
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
アメリカ合衆国 (USA)
言語:
英語 (EN)