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检索条件"机构=The Key Laboratory for Computer Virtual Technology and System Integration"
325 条 记 录,以下是181-190 订阅
排序:
Mining the important nodes of software based on complex networks
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ICIC Express Letters 2015年 第12期9卷 3263-3268页
作者: Huang, Guoyan Zhang, Peng Li, Yanling Ren, Jiadong College of Information Science and Engineering Yanshan University No. 438 Hebei Ave Qinhuangdao China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Yanshan University No. 438 Hebei Ave Qinhuangdao China
The main purpose of studying the software structure is considered to understand and recognize the structure easily by also taking into account the quality of software. In this paper, we define and analyze the node imp... 详细信息
来源: 评论
Mining software behavior pattern from software execution trace
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ICIC Express Letters, Part B: Applications 2015年 第12期6卷 3367-3372页
作者: Ren, Jiadong Wu, Hongfei Yin, Tengteng Li, Yanling Liu, Jiaxin Dong, Jun College of Information Science and Engineering Yanshan University No. 438 Hebei Avenue Qinhuangdao066004 China The Key Laboratory for Computer Virtual Technology System Integration of Hebei Province No. 438 Hebei Avenue Qinhuangdao066004 China
A software execution trace can be viewed as a series of events. An event may correspond to the execution of a basic block, the invocation of a class or a method. These traces imply important unique characteristics of ... 详细信息
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Software fault localization via mining program dynamic execution graph
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Journal of Computational Information systems 2014年 第19期10卷 8563-8573页
作者: Zhang, Kai Yang, Ke Zhou, Lianbo Ren, Jiadong College of Information Science and Engineering Yanshan University Qinhuangdao China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao China
This paper is concerned with the problem of locating the code area related to software potential fault quickly and accurately in software testing period. A new method Sig BB based on graph model is proposed for mining... 详细信息
来源: 评论
Real-time simulation of action-driven 3D subtle facial expressions
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Journal of Computational Information systems 2014年 第5期10卷 2137-2144页
作者: Tang, Yong Liang, Haiyan Guo, Dan Lv, Mengya Zhao, Jing College of Information Science and Engineering Yanshan University Qinhuangdao 066004 China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao 066004 China
While the large-scale deformations such as the Laplacian deformation method could not synthesize new expressional details, this paper proposes a method for simulating different subtle facial expressions based on the K... 详细信息
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IMSPMIS-Stream: incremental mining of top-k short sequential pattern over multiple item set streams
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Journal of Computational Information systems 2014年 第6期10卷 2305-2312页
作者: Hao, Xiaobing Han, Gaowei Chen, Yuping Wang, Peilong Ren, Jiadong College of Information Science and Engineering Yanshan University Qinhuangdao 066004 China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao 066004 China
Many previous algorithms in data streams are about single stream, which can only process single items. The algorithms about data streams are always extended by sequential pattern algorithms about static database, they... 详细信息
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Performance evaluation of an enhanced Ethernet energy saving mechanism in IEEE 802.3az
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Journal of Information and Computational Science 2014年 第5期11卷 1605-1613页
作者: Zhi, Shengyang Jin, Shunfu Meng, Chao College of Information Science and Engineering Yanshan University Qinhuangdao 066004 China Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao 066004 China
In order to reduce the energy consumption and improve the response performance, by introducing the strategies of sleep-delay, pre-awake and split timing to IEEE 802.3az, an enhanced Ethernet energy saving mechanism is... 详细信息
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Mining time-interval weighted closed sequential patterns based on memory indexing
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Journal of Computational Information systems 2014年 第1期10卷 293-300页
作者: Zeng, Qiang Chen, Dengxi Ren, Jiadong Han, Gaowei College of Information Science and Engineering Yanshan University Qinhuangdao 066004 China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao 066004 China
General weighted sequential pattern mining algorithms ignore or do not make good use of the time and time-interval information of data elements. Besides some algorithms require to scan the database many times or build... 详细信息
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WCSPMPD-stream: Mining weighted closed sequential patterns with pattern decay over data streams
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Journal of Computational Information systems 2014年 第1期10卷 435-442页
作者: Zeng, Qiang Han, Gaowei Li, Weina Ren, Jiadong College of Information Science and Engineering Yanshan University Qinhuangdao 066004 China The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao 066004 China
Many of the previous incremental methods in data streams are deleting the old patterns and adding to the new patterns directly, which may delete useful patterns too early. Both different real data and the data occurri... 详细信息
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Density-based clustering for evolving uncertain data stream
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Journal of Computational Information systems 2014年 第1期10卷 419-426页
作者: He, Haitao Zhao, Jintian The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao 066004 China College of Information Science and Engineering Yanshan University Qinhuangdao 066004 China
The current clustering algorithms for evolving uncertain data stream are sensitive to user specified threshold, and unstable in noise processing. In this paper, DUStream is presented, a density-based algorithm for dis... 详细信息
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A density grid-based uncertain data stream clustering algorithm
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Journal of Computational Information systems 2014年 第9期10卷 3619-3626页
作者: He, Haitao Zhao, Jintian The Key Laboratory for Computer Virtual Technology and System Integration of Hebei Province Qinhuangdao 066004 China College of Information Science and Engineering Yanshan University Qinhuangdao 066004 China
The existing grid-based uncertain data stream clustering algorithms are fast but low-accuracy, and sensitive to user-specified threshold. In order to solve the above problems, a density grid-based uncertain data strea... 详细信息
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