文献
J-GLOBAL ID:201802285704430682
整理番号:18A1486891
超大規模データベース上の多重スレッドを用いた逐次パターンのマイニングのための効率的アプローチ【JST・京大機械翻訳】
An efficient approach for mining sequential patterns using multiple threads on very large databases
著者 (10件):
Huynh Bao
(Center for Applied Information Technology, Ton Duc Thang University, Ho Chi Minh City, Viet Nam)
,
Huynh Bao
(Faculty of Information Technology, Ton Duc Thang University, Ho Chi Minh City, Viet Nam)
,
Trinh Cuong
(Department of Computing and Computer Services, Ton Duc Thang University, Ho Chi Minh City, Viet Nam)
,
Trinh Cuong
(Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic)
,
Huynh Huy
(Department of Computing and Computer Services, Ton Duc Thang University, Ho Chi Minh City, Viet Nam)
,
Huynh Huy
(Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic)
,
Van Thien-Trang
(Faculty of Information Technology, Ho Chi Minh City University of Technology (HUTECH), Ho Chi Minh City, Viet Nam)
,
Vo Bay
(Faculty of Information Technology, Ho Chi Minh City University of Technology (HUTECH), Ho Chi Minh City, Viet Nam)
,
Vo Bay
(College of Electronics and Information Engineering, Sejong University, Seoul, Republic of Korea)
,
Snasel Vaclav
(Faculty of Electrical Engineering and Computer Science, VSB-Technical University of Ostrava, Ostrava-Poruba, Czech Republic)
資料名:
Engineering Applications of Artificial Intelligence
(Engineering Applications of Artificial Intelligence)
巻:
74
ページ:
242-251
発行年:
2018年
JST資料番号:
T0797A
ISSN:
0952-1976
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)