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  • 1
    UID:
    edoccha_BV047690296
    Format: 1 Online-Ressource : , Illustrationen, Diagramme.
    ISBN: 978-3-030-91434-9
    Series Statement: Lecture notes in computer science 13116
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-91433-2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-91435-6
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Anwendungssoftware ; Künstliche Intelligenz ; Computersicherheit ; Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 2
    UID:
    edocfu_BV047690296
    Format: 1 Online-Ressource : , Illustrationen, Diagramme.
    ISBN: 978-3-030-91434-9
    Series Statement: Lecture notes in computer science 13116
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-91433-2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-91435-6
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Anwendungssoftware ; Künstliche Intelligenz ; Computersicherheit ; Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 3
    UID:
    almafu_BV047690296
    Format: 1 Online-Ressource : , Illustrationen, Diagramme.
    ISBN: 978-3-030-91434-9
    Series Statement: Lecture notes in computer science 13116
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-91433-2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-91435-6
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Anwendungssoftware ; Künstliche Intelligenz ; Computersicherheit ; Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 4
    UID:
    b3kat_BV047690296
    Format: 1 Online-Ressource , Illustrationen, Diagramme
    ISBN: 9783030914349
    Series Statement: Lecture notes in computer science 13116
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-91433-2
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 978-3-030-91435-6
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Anwendungssoftware ; Künstliche Intelligenz ; Computersicherheit ; Konferenzschrift
    URL: Volltext  (URL des Erstveröffentlichers)
    Library Location Call Number Volume/Issue/Year Availability
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  • 5
    UID:
    gbv_1780512724
    Format: 1 Online-Ressource (xii, 390 Seiten) , Illustrationen
    ISBN: 9783030914349
    Series Statement: Lecture notes in computer science 13116
    Content: Combinatorial Optimization and Learning -- Streaming algorithms for maximizing non-submodular functions on the integer lattice -- Causal Inference for Influence Propagation --- Identifiability of the In-dependent Cascade Model -- Streaming algorithms for Budgeted $k$-Submodular Maximization problem -- Approximation algorithms for the lower bounded correlation clustering problem -- Approximation Algorithm for Maximizing Nonnegative Weakly Mono-tonic Set Functions -- Differentially Private Submodular Maximization over Integer Lattice -- Maximizing the sum of a supermodular function and a monotone DR-submodular function subject to a knapsack constraint on the integer lattice -- Deep Learning and Applications to Complex and Social Systems -- A Framework for Accelerating Graph Convolution Networks on Massive Datasets -- AdvEdge: Optimizing Adversarial Perturbations against Interpretable Deep Learning -- Incorporating Transformer Models for Sentiment Analysis and News Classification in Khmer -- Deep Bangla Authorship Attribution using Transformer Models -- A Deep Learning Based Traffic Sign Detection for Intelligent Transportation Systems -- Detecting Hate Speech Contents Using Embedding Models -- MIC Model for Cervical Cancer Risk Factors Deep Association Analysis -- Power Grid Cascading Failure Prediction Based on Transforme -- Measurements of Insight from Data -- Security Breaches in the Healthcare Domain: A Spatiotemporal Analysis -- Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network -- Understanding the Issues Surrounding COVID-19 Vaccine Roll Out Via User Tweets -- Complex Networks Analytics -- Minimize Travel Time with Traffic Flow Density Equilibrium on Road Network -- Network based Framework to Compare Vaccination Strategies -- Groups Influence with Minimum Cost in Social Network -- Recovering communities in temporal networks using persistent edges -- Community Detection using Semilocal Topological Features and Label Propagation Algorithm -- Twitter Analysis of Covid-19 Misinformation in Spain -- Comparing Community-aware Centrality Measures in Online Social Networks -- Two-Tier Cache-Aided Full-Duplex Content Delivery in Satellite-Terrestrial Networks -- Special Track: Fact-Checking, Fake News and Malware Detection in Online Social Networks -- Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations -- The Role of Information Organization and Knowledge Structuring in Combatting Misinformation: A Literary Analysis -- Fake News Detection using LDA Topic Modelling and K-Nearest Neighbor Classifier -- Special Track: Information Spread in Social and Data Networks -- Summarization Algorithms for News: a Study of the Coronavirus Theme and its Impact on the News Extracting Algorithm -- Social cohesion during stay-at-home phase during the first wave of COVID-19 in Poland -- Influence and Activation Thresholds Target Set Selection within Community Structure.
    Content: This book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021. The conference was initially planned to take place in Montreal, Quebec, Canada, but changed to an online event due to the COVID-19 pandemic. The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks. .
    Additional Edition: ISBN 9783030914332
    Additional Edition: ISBN 9783030914356
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030914332
    Additional Edition: Erscheint auch als Druck-Ausgabe ISBN 9783030914356
    Additional Edition: Erscheint auch als Druck-Ausgabe CSoNet (10. : 2021 : Online) Computational data and social networks Cham : Springer, 2021 ISBN 9783030914332
    Additional Edition: ISBN 303091433X
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Computersicherheit ; Kombinatorische Optimierung ; Deep learning ; Online-Community ; Konferenzschrift
    Library Location Call Number Volume/Issue/Year Availability
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  • 6
    UID:
    b3kat_BV047659246
    Format: xii, 390 Seiten , Illustrationen, Diagramme
    ISBN: 9783030914332
    Series Statement: Lecture notes in computer science 13116
    Additional Edition: Erscheint auch als Online-Ausgabe ISBN 978-3-030-91434-9
    Language: English
    Subjects: Computer Science
    RVK:
    Keywords: Anwendungssoftware ; Künstliche Intelligenz ; Computersicherheit ; Konferenzschrift
    Library Location Call Number Volume/Issue/Year Availability
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  • 7
    UID:
    almahu_9949227930802882
    Format: XII, 390 p. 97 illus., 81 illus. in color. , online resource.
    Edition: 1st ed. 2021.
    ISBN: 9783030914349
    Series Statement: Theoretical Computer Science and General Issues ; 13116
    Content: This book constitutes the refereed proceedings of the 10th International Conference on Computational Data and Social Networks, CSoNet 2021, which was held online during November 15-17, 2021. The conference was initially planned to take place in Montreal, Quebec, Canada, but changed to an online event due to the COVID-19 pandemic. The 24 full and 8 short papers included in this book were carefully reviewed and selected from 57 submissions. They were organized in topical sections as follows: Combinatorial optimization and learning; deep learning and applications to complex and social systems; measurements of insight from data; complex networks analytics; special track on fact-checking, fake news and malware detection in online social networks; and special track on information spread in social and data networks. .
    Note: Combinatorial Optimization and Learning -- Streaming algorithms for maximizing non-submodular functions on the integer lattice -- Causal Inference for Influence Propagation --- Identifiability of the In-dependent Cascade Model -- Streaming algorithms for Budgeted $k$-Submodular Maximization problem -- Approximation algorithms for the lower bounded correlation clustering problem -- Approximation Algorithm for Maximizing Nonnegative Weakly Mono-tonic Set Functions -- Differentially Private Submodular Maximization over Integer Lattice -- Maximizing the sum of a supermodular function and a monotone DR-submodular function subject to a knapsack constraint on the integer lattice -- Deep Learning and Applications to Complex and Social Systems -- A Framework for Accelerating Graph Convolution Networks on Massive Datasets -- AdvEdge: Optimizing Adversarial Perturbations against Interpretable Deep Learning -- Incorporating Transformer Models for Sentiment Analysis and News Classification in Khmer -- Deep Bangla Authorship Attribution using Transformer Models -- A Deep Learning Based Traffic Sign Detection for Intelligent Transportation Systems -- Detecting Hate Speech Contents Using Embedding Models -- MIC Model for Cervical Cancer Risk Factors Deep Association Analysis -- Power Grid Cascading Failure Prediction Based on Transforme -- Measurements of Insight from Data -- Security Breaches in the Healthcare Domain: A Spatiotemporal Analysis -- Social and Motivational Factors for the Spread of Physical Activities in a Health Social Network -- Understanding the Issues Surrounding COVID-19 Vaccine Roll Out Via User Tweets -- Complex Networks Analytics -- Minimize Travel Time with Traffic Flow Density Equilibrium on Road Network -- Network based Framework to Compare Vaccination Strategies -- Groups Influence with Minimum Cost in Social Network -- Recovering communities in temporal networks using persistent edges -- Community Detection using Semilocal Topological Features and Label Propagation Algorithm -- Twitter Analysis of Covid-19 Misinformation in Spain -- Comparing Community-aware Centrality Measures in Online Social Networks -- Two-Tier Cache-Aided Full-Duplex Content Delivery in Satellite-Terrestrial Networks -- Special Track: Fact-Checking, Fake News and Malware Detection in Online Social Networks -- Mean User-Text Agglomeration (MUTA): Practical User Representation and Visualization for Detection of Online Influence Operations -- The Role of Information Organization and Knowledge Structuring in Combatting Misinformation: A Literary Analysis -- Fake News Detection using LDA Topic Modelling and K-Nearest Neighbor Classifier -- Special Track: Information Spread in Social and Data Networks -- Summarization Algorithms for News: a Study of the Coronavirus Theme and its Impact on the News Extracting Algorithm -- Social cohesion during stay-at-home phase during the first wave of COVID-19 in Poland -- Influence and Activation Thresholds Target Set Selection within Community Structure.
    In: Springer Nature eBook
    Additional Edition: Printed edition: ISBN 9783030914332
    Additional Edition: Printed edition: ISBN 9783030914356
    Language: English
    Library Location Call Number Volume/Issue/Year Availability
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