Results 111 to 120 of about 380 (128)
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Online Computation of Reduced Egonet Features for Anomaly Detection in Bank Transactions Graphs
2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP), 2023Bogdan Dumitrescu
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Identification of Overlapping Communities via Constrained Egonet Tensor Decomposition
IEEE Transactions on Signal Processing, 2018 Detection of overlapping communities in real-world networks is a generally challenging task. Upon recognizing that a network is in fact the union of its egonets, a novel network representation using multi-way data structures is advocated in this contribution.
Georgios B Giannakis +1 more
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Brazilian Journal of Medical and Biological Research, 2017 Osteosarcoma (OS) is the most common primary bone malignancy, but current therapies are far from effective for all patients. A better understanding of the pathological mechanism of OS may help to achieve new treatments for this tumor.
Z.C. Tong (6514778) +4 more
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Online Graph-Guided Inference Using Ensemble Gaussian Processes of Egonet Features
2021 55th Asilomar Conference on Signals, Systems, and Computers, 2021Qin Lu, Konstantinos D Polyzos
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Egonet based anomaly detection in E-bank transaction networks
IOP Conference Series: Materials Science and Engineering, 2020 Abstract While most of the risks to online banking come from outside, some abnormal accounts can also cause losses to banks or their customers. In this work, we used a data set of 3,411,486 customers collected from a top Chinese bank to mine the abnormal accounts of online banking customers.
Yuan Wang, Liming Wang, Jing Yang
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OCDAD: An Overlapping Community Detecting Algorithm using Attention Degree in Directed Ex-EgoNet
2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech), 2019Detecting community structure is of great theoretic significance and application value to extracting latent information in complex networks. Various algorithms of community detecting in directed networks have been proposed from a macroscopic scale. However, only a few of them are designed for handling directed networks microscopically.
Furong Chang, Bofeng Zhang
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Egonet: A Genetic Algorithm Model For The Optimisation Of Telephone Networks
International Journal of Computer Mathematics, 2003The aim of this paper is to study the use of genetic algorithms for the optimisation of telephone networks layout design. The genetic algorithms are used to design the network in a geographical sense with minimum costs depending on a set of real-world rules (constraints). A genetic algorithm tool (EGONET) is described.
Kifah R. Tout +2 more
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Journal of Intelligent and Fuzzy Systems, 2019
A bipartite network is a special kind of complex network that consists of two different types of nodes with edges existing only between the different node types. There are numerous real-world examples of bipartite networks, such as scientific collaboration networks and film-actor networks, among many others.
Furong Chang, Bofeng Zhang
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A bipartite network is a special kind of complex network that consists of two different types of nodes with edges existing only between the different node types. There are numerous real-world examples of bipartite networks, such as scientific collaboration networks and film-actor networks, among many others.
Furong Chang, Bofeng Zhang
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A Preliminary Look at Accuracy in Egonets
2014Abstract I assess the extent that the egonet method of collecting data permits accurate inferences to the true structural features of the network. This inference problem has three critical components: local-global inference error, ego distortion, and feature inference error.
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IEEE Transactions on Professional Communication, 2016
Research problem: Although labor statistics document a steady rise in contract, contingent, and entrepreneurial labor, knowledge about the professional communication practices that build and sustain independent careers in the field of technical communication (TC) largely emerges from broad survey analysis, cultural/social critiques, or individual ...
Benjamin Lauren, Stacey Pigg
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Research problem: Although labor statistics document a steady rise in contract, contingent, and entrepreneurial labor, knowledge about the professional communication practices that build and sustain independent careers in the field of technical communication (TC) largely emerges from broad survey analysis, cultural/social critiques, or individual ...
Benjamin Lauren, Stacey Pigg
openaire +1 more source