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检索条件"机构=National Laboratory for Parallel and Distributed Processing College of Computer"
702 条 记 录,以下是221-230 订阅
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Overview of blockchain consensus mechanism  2020
Overview of blockchain consensus mechanism
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2nd International Conference on Big Data Engineering, BDE 2020
作者: Zhang, Changqiang Wu, Cangshuai Wang, Xinyi Key Laboratory of Parallel and Distributed Computing College of Computer National University of Defense Technology China College of Computer National University of Defense Technology China
The advent of the Bitcoin system has brought another boom in the Internet era. In a very short time, many Blockchain systems come into being successively, whose decentration, consensus mechanisms, intelligent contract... 详细信息
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A novel rough set approach for classification
A novel rough set approach for classification
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2006 IEEE International Conference on Granular Computing
作者: Zhang, Li-Juan Li, Zhou-Jun National Laboratory for Parallel and Distributed Processing Changsha 410073 China School of Computer Science and Engineering Beihang University Beijing 100083 China
Rough set theory has been widely and successfully used in data mining, especially in classification field. But most existing rough set based classification approaches require computing optimal attribute reduction, whi... 详细信息
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An efficient two-level bitmap index for cloud data management
An efficient two-level bitmap index for cloud data managemen...
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2011 IEEE 3rd International Conference on Communication Software and Networks, ICCSN 2011
作者: Bin, Huang Yu-Xing, Peng School of Computer Science Wuhan University Wuhan China National Laboratory of Parallel and Distributed Processing School of Computer Science National University of Defense Technology Changsha China
A Cloud may be seen as a type of flexible computing infrastructure consisting of many compute nodes, where resizable computing capacities can be provided to different customers. To fully harness the power of the Cloud... 详细信息
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Simulation research of communication networks based on prim algorithm
Simulation research of communication networks based on prim ...
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International Forum on Information Technology and Applications
作者: Yang, Chenghui Ren, ChuanJun College of Electrical Engineering Northwest University for Nationalities Lanzhou 730030 China National Laboratory for Parallel and Distributed Processing College of Computer Science National University of Defense Technology Changsha 410073 China
In order to improve the efficiency of the communication networks, we used the Kruskal algorithm and the Prim algorithm through algorithm comparison and analysis methods of data structure. A dynamic framework for the c... 详细信息
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High-performance Network Traffic Classification Based on Graph Neural Network  6
High-performance Network Traffic Classification Based on Gra...
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6th IEEE Information Technology, Networking, Electronic and Automation Control Conference, ITNEC 2023
作者: Pang, Bo Fu, Yongquan Ren, Siyuan Jia, Yan Harbin Institute of Technology College of Computer Science and Technology Shenzhen China National University of Defense Technology National Key Laboratory for Parallel and Distributed Processing College of Computer Changsha China Peng Cheng Laboratory Shen Zhen China
Network traffic classification is crucial for network security and network management and is one of the most important network tasks. Current state-of-the-art traffic classifiers are based on deep learning models to a... 详细信息
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Efficient social network approximate analysis on blogosphere based on network structure characteristics
Efficient social network approximate analysis on blogosphere...
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3rd Workshop on Social Network Mining and Analysis, SNA-KDD '09
作者: Tang, Jintao Wang, Ting Wang, Ji Wei, Dengping School of Computer National University of Defense Technology ChangSha Hunan 410073 China National Laboratory for Parallel and Distributed Processing ChangSha Hunan 410073 China
As a typical social media in Web 2.0, blogs have attracted a surge of researches. Unlike the traditional studies, the social networks mined from Internet are very large, which makes a lot of social network analyzing a... 详细信息
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Reducing repair traffic in P2P backup systems: Exact regenerating codes on hierarchical codes
Reducing repair traffic in P2P backup systems: Exact regener...
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作者: Huang, Zhen Biersack, Ernst Peng, Yuxing Department of Computer National Laboratory of Parallel and Distributed Processing National University of Defense Technology Changsha Hunan 410073 China Eurecom Sophia Antipolis France
Peer to peer backup systems store data on "unreliable" peers that can leave the system at any moment. In this case, the only way to assure durability of the data is to add redundancy using either replication... 详细信息
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An efficient packing algorithm for spatial keyword queries
An efficient packing algorithm for spatial keyword queries
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6th International Conference on Convergence and Hybrid Information Technology, ICHIT 2012
作者: Pan, Jinkun Li, Dongsheng Li, Liming National Laboratory for Parallel and Distributed Processing School of Computer National University of Defense Technology 410073 Changsha China Shanghai Garrision 200040 Shanghai China
With the increase of location-based services, Web contents are being geo-tagged, and spatial keyword queries that retrieve objects satisfying both spatial and keyword conditions are gaining in prevalence. Unfortunatel... 详细信息
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Minimum redundancy gene selection based on grey relational analysis
Minimum redundancy gene selection based on grey relational a...
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作者: Zhang, Li-Juan Li, Zhou-Jun Chen, Huo-Wang Wen, Jian National Laboratory for Parallel and Distributed Processing Changsha 410073 China School of Computer Science and Engineering Beihang University Beijing 100083 China
In this article we describe a method for selecting informative genes from microarray data. The method is based on clustering, namely, it first find similar genes, group them and then select informative genes from thes... 详细信息
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Character feature learning for named entity recognition
Character feature learning for named entity recognition
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作者: Zeng, Ping Tan, Qingping Zhang, Haoyu Meng, Xiankai Zhang, Zhuo Xu, Jianjun Lei, Yan College of Computer National University of Defense Technology Changsha China National Key Laboratory for Parallel and Distributed Processing Changsha China School of Software Engineering Chongqing University Chongqing China
The deep neural named entity recognition model automatically learns and extracts the features of entities and solves the problem of the traditional model relying heavily on complex feature engineering and obscure prof... 详细信息
来源: 评论