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检索条件"机构=Jiangsu Key Laboratory of Dig Data Security and Intelligent Processing"
185 条 记 录,以下是51-60 订阅
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Multi-source Infection Pattern Mining Algorithms over Moving Objects  25
Multi-source Infection Pattern Mining Algorithms over Moving...
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25th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2022
作者: Chen, Yu Dai, Hua Yang, Geng Chen, Yanli Nanjing University of Posts and Telecommunications School of Computer Science Nanjing210003 China Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing210003 China
Using the trajectory data of moving objects to analyze and study the infection mode of viruses or germs has practical application value. The definition of infection pattern in existing works only considers one-to-one ... 详细信息
来源: 评论
A Fraud Detection Approach Based on Combined Feature Weighting  10th
A Fraud Detection Approach Based on Combined Feature Weighti...
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10th EAI International Conference on Cloud Computing, CloudComp 2020
作者: Liu, Xiaoqian Yu, Chenfei Xia, Bin Gu, Haiyan Wang, Zhenli Department of Computer Information and Cyber Security Jiangsu Police Institute Nanjing210031 China Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing210023 China Jiangsu Electronic Data Forensics and Analysis Engineering Research Center Nanjing China Jiangsu Provincial Public Security Department Key Laboratory of Digital Forensics Nanjing China
data mining technology has yielded fruitful results in the area of crime discovery and intelligent decision making. Credit card is one of the most popular payment methods, providing great convenience and efficiency. H... 详细信息
来源: 评论
Community Detection Based on Deep Network Embedding with Dual Self-supervised Training  3rd
Community Detection Based on Deep Network Embedding with Dua...
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3rd International Conference on Big data and security, ICBDS 2021
作者: Chen, Yunfang Mao, Haotian Wang, Li Zhang, Wei School of Computer Science Nanjing University of Posts and Telecommunications Jiangsu Nanjing210023 China Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing University of Posts and Telecommunications Jiangsu Nanjing210023 China
We propose a community discovery method based on deep auto-encoding (DGAE_DST). Firstly, we use the pre-trained two-layer neural network and k-means algorithm to initialize the centroid vector, and then use the DNN mo... 详细信息
来源: 评论
Recognition of Disaster Images Based on Self-Supervised Learning  7
Recognition of Disaster Images Based on Self-Supervised Lear...
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7th International Conference on Cloud Computing and Big data Analytics, ICCCBDA 2022
作者: Wang, Linyong Wu, Ruiqi Li, Cen Zou, Zhiqiang Nanjing University of Posts and Telecommunications NanJing China College of Computer Nanjing University of Posts and Telecommunications Jiangsu Key Laboratory of Big Data Security and Intelligent Processing NanJing China
Existing supervised deep learning model requires large amounts of labeled training data to learn new tasks. This is a limitation for many practical applications in disaster areas as well as in many other fields such a... 详细信息
来源: 评论
Design Guidance for Lightweight Object Detection Models  3rd
Design Guidance for Lightweight Object Detection Models
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3rd International Conference on Big data and security, ICBDS 2021
作者: Wang, Rui Wang, Xueli Chen, Yunfang Zhang, Wei School of Computer Science Nanjing University of Posts and Telecommunications Jiangsu Nanjing210023 China Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing University of Posts and Telecommunications Jiangsu Nanjing210023 China
The lightweight target detection model is deployed in an environment with limited computing power and power consumption, which is widely used in many fields. Most of the current lightweight technologies only focus on ... 详细信息
来源: 评论
Identifying Outliers in Astronomical Images with Unsupervised Machine Learning
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Research in Astronomy and Astrophysics 2022年 第8期22卷 74-84页
作者: Yang Han Zhiqiang Zou Nan Li Yanli Chen School of Computer Science Nanjing University of Posts and TelecommunicationsNanjing 210023China Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing 210023China Key Laboratory of Optical Astronomy National Astronomical ObservatoriesChinese Academy of SciencesBeijing 100101China University of Chinese Academy of Sciences Beijing 100049China
Astronomical outliers,such as unusual,rare or unknown types of astronomical objects or phenomena,constantly lead to the discovery of genuinely unforeseen knowledge in *** unpredictable outliers will be uncovered in pr... 详细信息
来源: 评论
An adaptive flow table adjustment algorithm for SDN  21
An adaptive flow table adjustment algorithm for SDN
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21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on data Science and Systems, HPCC/SmartCity/DSS 2019
作者: Xu, Xiaolong Hu, Liuyun Lin, Haowei Fan, Zexuan School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China Jiangsu Key Laboratory of Big Data Security Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing China
SDN (Software-defined networking) are important for current network systems, such as cloud systems. The characteristics of flow in SDN and the impact of flow table entries and controllers on data packet transmission a... 详细信息
来源: 评论
Learning Disentangled Latent Factors for Individual Treatment Effect Estimation Using Variational Generative Adversarial Nets  25
Learning Disentangled Latent Factors for Individual Treatmen...
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25th IEEE International Conference on Computer Supported Cooperative Work in Design, CSCWD 2022
作者: Bao, Qingsen Mao, Zeyong Chen, Lei Nanjing University of Posts and Telecommunications School of Computer Science Nanjing China Nanjing University of Posts and Telecommunications Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing China
Estimating individual treatment effect (ITE) is a challenging task due to the need for individual potential outcomes to be learned from biased data and counterfactuals are inherently unobservable. Some researchers pro... 详细信息
来源: 评论
APDPk-means: A new differential privacy clustering algorithm based on arithmetic progression privacy budget allocation  21
APDPk-means: A new differential privacy clustering algorithm...
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21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on data Science and Systems, HPCC/SmartCity/DSS 2019
作者: Fan, Zexuan Xu, Xiaolong Jiangsu Key Laboratory of Big Data Security AND Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China
How to protect users' private data during network data mining has become a hot issue in the fields of big data and network information security. Most current researches on differential privacy k-means clustering a... 详细信息
来源: 评论
TSC-ECFA:A Trusted Service Composition Scheme for Edge Cloud  27
TSC-ECFA:A Trusted Service Composition Scheme for Edge Cloud
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27th IEEE International Conference on Parallel and Distributed Systems, ICPADS 2021
作者: Jiang, Yu Xu, Xiaolong Lin, Kunda Duan, Weihua Nanjing University of Posts and Telecommunications Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing China
In order to select a composition scheme that meets user's needs and high performance from large-scale web services in the edge cloud, this paper proposes a trusted service composition optimization scheme called TS... 详细信息
来源: 评论