Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 14 of 14 for “"network clustering"”.
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Using network clustering to predict copy number variations associated with health disparities
… health disparities from the perspective of gene networks. We inferred network clusters from two different human gene/protein networks. We then evaluated each network cluster for the occurrences of known pathogenic genes and genes located in CNVs with different population frequencies, and used …
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A Performance Comparison Of Clustering Algorithms In Ad Hocnetworks
An ad hoc network is comprised of wireless mobile nodes without the need of wired network infrastructure. Due to the limited transmission range of nodes, the exchange of data between them may not be possible using direct communication. Partitioning the network into clusters and electing a …
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Cluster-based trust proliferation and energy efficient data collection in unattended wireless sensor networks with mobile sinks
Wireless sensor networks are relatively simple, scalable networks with many applications in the research field. They can provide benefits that a typical wireless network does not, such as ad-hoc distribution, lower costs, and higher flexibility. In a scenario where time is of the essence and …
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A non-linear approach to modelling motivation in the workplace using artificial neural networks
… group were clustered using artificial neural network analysis and outlying motivation variables within clusters that differed significantly from the mean were identified. In the second part of the fieldwork, the meanings of outlying variables were interpreted by focus groups representing each …
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Interdisciplinary Studies of Complex Network and Machine Learning and Its Applications
… this dissertation, we introduce the concept of network-based statistical inference methods of two types: network structure inference and variable inference. For network structure inference, we introduce correlation matrix, graphical Lasso, network clustering and identify the influencer in the …
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Sports analytics and optimization for team formation problems
… of sports. To begin, we develop a novel weighted network clustering algorithm to classify players in the National Basketball Association (NBA) into archetypes. Next, drawing upon classical Team Formation Problem (TFP) literature, we integrate these archetypes, or team roles, into a nonlinear …
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Network Based Approaches for Clustering and Location Decisions
… is to study commonly occurring location and clustering problems on graphs. The dissertation is presented as a collection of results in topics including finding maximum cliques in large graphs, graph clustering in large scale graphs, determining location of facilities for pre-positioning …
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Exploration of clustering overlaps in a ransomware network based on link structures and content relevance
… in none ransomware domains (e.g. complex social networks links and contents) has proved invaluable for the detection of cluster hubs, authorities, and communities in complex social networks. This has helped in targeted marketing activities and in the detection, identification, and prediction of …
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On the analysis of complex networks : fundamental limits, scalable algorithms, and applications
Network models provide a unifying framework for understanding dependencies among variables in data-driven and engineering sciences. Networks can be used to reveal underlying data structures, infer functional modules, and facilitate experiment design. In practice, however, size, uncertainty and …
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Machine learning methods for detecting structure in metabolic flow networks
Metabolic flow networks are large scale, mechanistic biological models with good predictive power. However, even when they provide good predictions, interpreting the meaning of their structure can be very difficult, especially for large networks which model entire organisms. This is an …
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An Emergent Architecture for Scaling Decentralized Communication Systems (DCS)
… and communication intensive nodes in the network with many of these nodes operating in multiple functional roles; self-organizing virtual structures formed through alternative mobility scenarios and capable of serving ad hoc networking formations; emergent operations and control with …
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Effective citation recommendation by information network-based clustering
… in the context of heterogeneous bibliographic networks and propose a novel cluster-based citation recommendation framework, called ClusCite, which explores the principle that citations tend to be softly clustered into interest groups based on multiple types of relationships in the network. …
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Downlink Transmission and Caching Strategies for Backhaul-Limited Cloud Radio Access Networks
… thesis considers a downlink cloud radio access network (C-RAN) where all the base stations (BSs) are connected to a central processor (CP) via capacity-limited backhaul links. Two fundamental and different downlink transmission strategies are studied, namely the data-sharing strategy and the …
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Statistical algorithms using multisets and statistical inference of heterogeneous networks
… and statistical analysis for heterogeneous networks. The expectation-maximization (EM) algorithm is widely used in computing the maximum likelihood estimates when the observations can be viewed as incomplete data. However, the convergence rate of the EM algorithm can be slow especially when …