文献
J-GLOBAL ID:201902245358631055
整理番号:19A1541049
PSMSP データベースグラフにおけるトップk逐次パターンのマイニングのための並列化サンプリングに基づくアプローチ【JST・京大機械翻訳】
PSMSP: A Parallelized Sampling-Based Approach for Mining Top-k Sequential Patterns in Database Graphs
著者 (5件):
Lei Mingtao
(Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China)
,
Zhang Xi
(Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China)
,
Yang Jincui
(Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China)
,
Fang Binxing
(Key Laboratory of Trustworthy Distributed Computing and Service (BUPT), Ministry of Education, Beijing University of Posts and Telecommunications, Beijing, China)
,
Fang Binxing
(Institute of Electronic and Information Engineering of UESTC in Guangdong, Dongguan, China)
資料名:
Lecture Notes in Computer Science
(Lecture Notes in Computer Science)
巻:
11448
ページ:
254-258
発行年:
2019年
JST資料番号:
H0078D
ISSN:
0302-9743
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)