文献
J-GLOBAL ID:201902224850232308
整理番号:19A2762118
最小希アイテム集合に基づく異常検出法とセンサデータストリームへの応用【JST・京大機械翻訳】
A Minimum Rare-Itemset-Based Anomaly Detection Method and Its Application on Sensor Data Stream
著者 (6件):
Cai Saihua
(College of Information and Electrical Engineering, China Agricultural University, Beijing, China)
,
Sun Ruizhi
(College of Information and Electrical Engineering, China Agricultural University, Beijing, China)
,
Sun Ruizhi
(Scientific Research Base for Integrated Technologies of Precision Agriculture (Animal Husbandry), The Ministry of Agriculture, Beijing, China)
,
Mu Huiyu
(College of Information and Electrical Engineering, China Agricultural University, Beijing, China)
,
Shi Xiaochen
(College of Information and Electrical Engineering, China Agricultural University, Beijing, China)
,
Yuan Gang
(College of Information and Electrical Engineering, China Agricultural University, Beijing, China)
資料名:
Communications in Computer and Information Science
(Communications in Computer and Information Science)
巻:
1042
ページ:
116-130
発行年:
2019年
JST資料番号:
W5071A
ISSN:
1865-0929
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)