文献
J-GLOBAL ID:202002275418083230
整理番号:20A0857637
金融不正検出のための教師なし増分仮想学習法【JST・京大機械翻訳】
An Unsupervised Incremental Virtual Learning Method for Financial Fraud Detection
著者 (7件):
Ma Tian
(Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China; Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China)
,
Qian Shiyou
(Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China; Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China)
,
Cao Jian
(Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China; Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China)
,
Xue Guangtao
(Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China)
,
Yu Jiadi
(Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China)
,
Zhu Yanmin
(Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China)
,
Li Minglu
(Shanghai Institute for Advanced Communication and Data Science, Shanghai Jiao Tong University, Shanghai, China)
資料名:
IEEE Conference Proceedings
(IEEE Conference Proceedings)
巻:
2019
号:
AICCSA
ページ:
1-6
発行年:
2019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)