文献
J-GLOBAL ID:201702254148358733
整理番号:17A0914331
技術知識ドメイン内で傾向を見出すためのLDAモデル【Powered by NICT】
LDA models for finding trends in technical knowledge domain
著者 (5件):
Shiryaev Alexey P.
(National Research University of Electronic Technology, Zelenograd, Moscow, Russia)
,
Dorofeev Andrey V.
(National Research University of Electronic Technology, Zelenograd, Moscow, Russia)
,
Fedorov Alexey R.
(National Research University of Electronic Technology, Zelenograd, Moscow, Russia)
,
Gagarina Larisa G.
(National Research University of Electronic Technology, Zelenograd, Moscow, Russia)
,
Zaycev Vladimir V.
(Management Company of Innovation Cluster, State Enterprise of Moscow city “Development Corporation of Zelenograd”, (KP “KRZ”) Moscow, Russia)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2017
号:
EIConRus
ページ:
551-554
発行年:
2017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)