文献
J-GLOBAL ID:202202223894912085
整理番号:22A0560837
分類学の定量的データベースにおけるクロスレベル高ユーティリティアイテムセットの効率的マイニング【JST・京大機械翻訳】
Efficient mining of cross-level high-utility itemsets in taxonomy quantitative databases
著者 (7件):
Tung N.T.
(Faculty of Information Technology, HUTECH University, Ho Chi Minh City, Viet Nam)
,
Nguyen Loan T.T.
(School of Computer Science and Engineering, International University, Ho Chi Minh City, Viet Nam)
,
Nguyen Loan T.T.
(Vietnam National University, Ho Chi Minh City, Viet Nam)
,
Nguyen Trinh D.D.
(Faculty of Information Technology, Industrial University of Ho Chi Minh City, Ho Chi Minh City, Viet Nam)
,
Fourier-Viger Philippe
(College of Computer Science and Software Engineering, Shenzhen University, Shenzhen, China)
,
Nguyen Ngoc-Thanh
(Department of Applied Informatics, Wroclaw University of Science and Technology, Poland)
,
Vo Bay
(Faculty of Information Technology, HUTECH University, Ho Chi Minh City, Viet Nam)
資料名:
Information Sciences
(Information Sciences)
巻:
587
ページ:
41-62
発行年:
2022年
JST資料番号:
D0636A
ISSN:
0020-0255
CODEN:
ISIJBC
資料種別:
逐次刊行物 (A)
記事区分:
原著論文
発行国:
オランダ (NLD)
言語:
英語 (EN)