CO-CLUSTERING

作品数：5被引量：8H指数：1
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相关领域：自动化与计算机技术更多>>
相关作者：陈根浪更多>>
相关机构：浙江大学更多>>
相关期刊：《Chinese Journal of Mechanical Engineering》《Journal of Computer Science & Technology》《Science China Earth Sciences》《Medicinal Plant》更多>>
相关基金：国家自然科学基金中国博士后科学基金更多>>
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TLERAD: Transfer Learning for Enhanced Ransomware Attack Detection
《Computers, Materials & Continua》2024年第11期2791-2818,共28页Isha Sood Varsha Sharm 
Ransomware has emerged as a critical cybersecurity threat,characterized by its ability to encrypt user data or lock devices,demanding ransom for their release.Traditional ransomware detection methods face limitations ...
关键词：Ransomware detection transfer learning unsupervised learning CO-CLUSTERING CYBERSECURITY machine learning lightweight cryptography post-quantum cryptography explainable AI TLERAD 
Spatio-temporal differentiation of spring phenology in China driven by temperatures and photoperiod from 1979 to 2018被引量：1
《Science China Earth Sciences》2020年第10期1485-1498,共14页Xiaojing WU Changxiu CHENG Cancan QIAO Changqing SONG 
supported by the National Key R&D Program of China(Grant No.2019YFA0606901);the National Natural Science Foundation of China(Grant No.41901317);the China Postdoctoral Science Foundation(Grant No.2018M641246)。
Large amounts of data accumulated in ecology and related environmental sciences arouses urgent need to explore useful patterns and information in it.Here we propose coclustering-based methods and a temperatures-photop...
关键词：First bloom date CO-CLUSTERING Big data Spatio-temporal differentiation Temperatures-photoperiod driven phenological model 
A Fast Multi-tasking Solution: NMF-Theoretic Co-clustering for Gear Fault Diagnosis under Variable Working Conditions被引量：6
《Chinese Journal of Mechanical Engineering》2020年第1期182-196,共15页Fei Shen Chao Chen Jiawen Xu Ruqiang Yan 
Supported by National Natural Science Foundation of China(Grant No.51575102);Jiangsu Postgraduate Research Innovation Program(Grant No.KYCX18_0075).
Most gear fault diagnosis(GFD)approaches su er from ine ciency when facing with multiple varying working conditions at the same time.In this paper,a non-negative matrix factorization(NMF)-theoretic co-clustering strat...
关键词：GEAR fault diagnosis Non-negative matrix FACTORIZATION CO-CLUSTERING VARYING working conditions 
A Visualization Study of Hot Spots of Research on Siraitiae Fructus over a Decade Based on Co-clustering Analysis
《Medicinal Plant》2018年第1期1-5,15,共6页Jianhua FAN Min LIANG Buming LIU 
Supported by Guangxi Major Scientific Research and Technological Development Project(Gui Ke Zhong 1355001-4,14124002-11)
[Objectives] To use co-clustering analysis and visualization method to analyze the research on Siraitiae Fructus in recent ten years,to know the hot spots and trend of research. [Methods] Relevant research results abo...
关键词：Siraitiae Fructus Co-clustering analysis VISUALIZATION BICOMB gCLUTO UCINET SPSS Data mining 
Anomaly Detection in Microblogging via Co-Clustering被引量：1
《Journal of Computer Science & Technology》2015年第5期1097-1108,共12页杨武 申国伟 王巍 宫良一 于淼 董国忠 
the National Natural Science Foundation of China under Grant No. 61170242, the National High Technology Research and Development 863 Program of China under Grant No. 2012AA012802, and the Fundamental Research Fhnds for the Central Universities of China under Grant No. HEUCF100605.
Traditional anomaly detection on microblogging mostly focuses on individual anomalous users or messages. Since anomalous users employ advanced intelligent means, the anomaly detection is greatly poor in performance. I...
关键词：MICROBLOGGING anomaly detection nonnegative matrix tri-factorization user interaction behavior 
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