文献
J-GLOBAL ID:202002211618110532
整理番号:20A2275449
注意機構と二重チャネルに基づくユーザ金融行動のマイニング相関特徴【JST・京大機械翻訳】
Mining Correlation Features of User Financial Behavior Based on Attention Mechanism and Dual Channel
著者 (3件):
Cheng Pengchao
(Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China)
,
Li Yawen
(School of Economics and Management, Beijing University of Posts and Telecommunications, Beijing, China)
,
Xue Zhe
(Beijing Key Laboratory of Intelligent Telecommunication Software and Multimedia, School of Computer Science, Beijing University of Posts and Telecommunications, Beijing, China)
資料名:
Lecture Notes in Electrical Engineering
(Lecture Notes in Electrical Engineering)
巻:
706
ページ:
66-74
発行年:
2020年
JST資料番号:
W5070A
ISSN:
1876-1100
資料種別:
会議録 (C)
記事区分:
原著論文
発行国:
ドイツ (DEU)
言語:
英語 (EN)