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检索条件"主题词=Clusteringalgorithms"
12 条 记 录,以下是1-10 订阅
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A fuzzy clustering algorithm to detect criminals without prior information
A fuzzy clustering algorithm to detect criminals without pri...
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IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
作者: Fan, Changjun Xiao, Kaiming Xiu, Baoxin Lv, Guodong Natl Univ Def Technol Sci & Technol Informat Syst Engn Lab Changsha 410073 Hunan Peoples R China
Crime analysis has been widely studied, but problem of identifying conspirators through communication network analysis is still not well resolved. In this paper, we proposed a fuzzy clustering algorithm to detect hidd... 详细信息
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Clique Migration: Affinity Grouping of Virtual Machines for Inter-Cloud Live Migration  9
<i>Clique Migration</i>: Affinity Grouping of Virtual Machin...
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9th IEEE International Conference on Networking, Architecture, and Storage (NAS)
作者: Lu, Tao Stuart, Morgan Tang, Kun He, Xubin Virginia Commonwealth Univ Dept Elect & Comp Engn Richmond VA 23284 USA
Affinity is common among Virtual Machines (VMs) in cloud environments. If VMs collaborating on a job are split in geographically distributed clouds, the low bandwidth and high latency inter-cloud communication via a w... 详细信息
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A Novel Algorithm for Community Detection and Influence Ranking in Social Networks
A Novel Algorithm for Community Detection and Influence Rank...
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IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
作者: Wang, Wenjun Street, W. Nick Univ Iowa Dept Management Sci Iowa City IA 52242 USA
Community detection and influence analysis are significant notions in social networks. We exploit the implicit knowledge of influence-based connectivity and proximity encoded in the network topology, and propose a nov... 详细信息
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Comparison of Various Improved-Partition Fuzzy c-Means Clustering Algorithms in Fast Color Reduction  12
Comparison of Various Improved-Partition Fuzzy <i>c</i>-Mean...
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12th IEEE International Symposium on Intelligent Systems and Informatics (SISY)
作者: Szilagyi, Laszlo Denesi, Gellert Kovacs, Levente Szilagyi, Sandor M. Budapest Univ Technol & Econ Dept Control Engn & Informat Technol H-1117 Budapest Hungary Sapientia Univ Dept Elect Engn Targu Mures 540485 Romania Obuda Univ Appl Informat Inst John von Neumann Fac Informat Budapest Hungary Petru Maior Univ Dept Informat Targu Mures 540088 Romania
This paper provides a comparative study of several enhanced versions of the fuzzy c-means clustering algorithm in an application of histogram-based image color reduction. A common preprocessing is performed before clu... 详细信息
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How Do Biological Networks Differ from Social Networks? (An Experimental Study)
How Do Biological Networks Differ from Social Networks? (An ...
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IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
作者: Gutierrez-Bunster, Tatiana Stege, Ulrike Thomo, Alex Taylor, John Univ Victoria Dept Comp Sci Victoria BC Canada Univ Victoria Dept Biol Victoria BC V8W 2Y2 Canada Univ Bio Bio Dept Sistemas Informac Concepcion Chile
In this paper we outline important differences between (1) protein interaction networks and (2) social and other complex networks, in terms of fine-grained network community profiles. While these families of networks ... 详细信息
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Using Total Correlation to Discover Related Clusters of Clinical Chemistry Parameters  12
Using Total Correlation to Discover Related Clusters of Clin...
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12th IEEE International Symposium on Intelligent Systems and Informatics (SISY)
作者: Ferenci, Tamas Kovacs, Levente Obuda Univ Physiol Controls Grp Budapest Hungary
Clinical chemistry tests are widely used in medical diagnosis. Physicians typically interpret them in a univariate sense, by comparing each parameter to a reference interval, however, their correlation structure may a... 详细信息
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Overlapping Stochastic Community Finding
Overlapping Stochastic Community Finding
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IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
作者: McDaid, Aaron Hurley, Neil Murphy, Brendan Univ Coll Dublin Sch Comp Sci & Informat Insight Ctr Data Analyt Dublin 2 Ireland Univ Coll Dublin Sch Math Sci Insight Ctr Data Analyt Dublin 2 Ireland
Community finding in social network analysis is the task of identifying groups of people within a larger population who are more likely to connect to each other than connect to others in the population. Much existing ... 详细信息
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CluClas: Hybrid Clustering-Classification Approach for Accurate and Efficient Network Classification  39
<i>CluClas</i>: Hybrid Clustering-Classification Approach fo...
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39th Annual IEEE Conference on Local Computer Networks (LCN)
作者: Fahad, Adil Alharthi, Kurayman Tari, Zahir Almalawi, Abdulmohsen Khalil, Ibrahim RMIT Univ Sch Comp Sci & IT Melbourne Vic Australia
The traffic classification is the foundation for many network activities, such as Quality of Service (QoS), security monitoring, Lawful Interception and Intrusion Detection Systems (IDS). A recent statistics-based app... 详细信息
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Overlapping community detection in large networks from a data fusion view
Overlapping community detection in large networks from a dat...
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IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
作者: Yu, Le Wu, Bin Zhao, Shuai Wang, Bai Beijing Univ Posts & Telecommun Sch Comp Sci Beijing 100088 Peoples R China BUPT State Key Lab Networking & Switching Beijing Peoples R China
Community detection is one of the most important problems in social network analysis in the context of the structure of the underlying graphs. Many researchers have proposed their own methods for discovering dense reg... 详细信息
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Empirical Study on Overlapping Community Detection in Question and Answer Sites
Empirical Study on Overlapping Community Detection in Questi...
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IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM)
作者: Meng, Zide Gandon, Fabien Zucker, Catherine Faron Song, Ge INRIA Sophia Antipolis Mediterranee F-06900 Sophia Antipolis France Univ Nice Sophia Antipolis CNRS UMR 7271 I3S F-06900 Sophia Antipolis France
In many social networks, people interact based on their interests. Community detection algorithms are then useful to reveal the sub-structures of a network and help us find interest groups. Identifying these social co... 详细信息
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