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L'ABC des médias sociaux : ou comment tirer parti de Facebook, Twitter, LinkedIn ... sur le plan professionnel / / Stefaan Lammertyn
L'ABC des médias sociaux : ou comment tirer parti de Facebook, Twitter, LinkedIn ... sur le plan professionnel / / Stefaan Lammertyn
Autore Lammertyn Stefaan
Pubbl/distr/stampa Bruxelles : , : Die Keure : , : B&E, , [2015]
Descrizione fisica 1 online resource (199 p.)
Disciplina 006.754
Soggetto genere / forma Electronic books.
ISBN 2-87403-375-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione fre
Record Nr. UNINA-9910466757203321
Lammertyn Stefaan  
Bruxelles : , : Die Keure : , : B&E, , [2015]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
L'ABC des médias sociaux : ou comment tirer parti de Facebook, Twitter, LinkedIn ... sur le plan professionnel / / Stefaan Lammertyn
L'ABC des médias sociaux : ou comment tirer parti de Facebook, Twitter, LinkedIn ... sur le plan professionnel / / Stefaan Lammertyn
Autore Lammertyn Stefaan
Pubbl/distr/stampa Bruxelles : , : Die Keure : , : B&E, , [2015]
Descrizione fisica 1 online resource (199 p.)
Disciplina 006.754
ISBN 2-87403-375-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione fre
Record Nr. UNINA-9910796294603321
Lammertyn Stefaan  
Bruxelles : , : Die Keure : , : B&E, , [2015]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
L'ABC des médias sociaux : ou comment tirer parti de Facebook, Twitter, LinkedIn ... sur le plan professionnel / / Stefaan Lammertyn
L'ABC des médias sociaux : ou comment tirer parti de Facebook, Twitter, LinkedIn ... sur le plan professionnel / / Stefaan Lammertyn
Autore Lammertyn Stefaan
Pubbl/distr/stampa Bruxelles : , : Die Keure : , : B&E, , [2015]
Descrizione fisica 1 online resource (199 p.)
Disciplina 006.754
ISBN 2-87403-375-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione fre
Record Nr. UNINA-9910818859903321
Lammertyn Stefaan  
Bruxelles : , : Die Keure : , : B&E, , [2015]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Apache spark 2.x machine learning cookbook : over 100 recipes to simplify machine learning model implementations with Spark / / Siamak Amirghodsi [and three others]
Apache spark 2.x machine learning cookbook : over 100 recipes to simplify machine learning model implementations with Spark / / Siamak Amirghodsi [and three others]
Edizione [1st edition]
Pubbl/distr/stampa Birmingham, England : , : Packt Publishing, , 2017
Descrizione fisica 1 online resource (1 volume) : illustrations
Disciplina 006.754
Soggetto topico Data mining - Computer programs
Soggetto genere / forma Electronic books.
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910467458903321
Birmingham, England : , : Packt Publishing, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Apache spark 2.x machine learning cookbook : over 100 recipes to simplify machine learning model implementations with Spark / / Siamak Amirghodsi [and three others]
Apache spark 2.x machine learning cookbook : over 100 recipes to simplify machine learning model implementations with Spark / / Siamak Amirghodsi [and three others]
Edizione [1st edition]
Pubbl/distr/stampa Birmingham, England : , : Packt Publishing, , 2017
Descrizione fisica 1 online resource (1 volume) : illustrations
Disciplina 006.754
Soggetto topico Data mining - Computer programs
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910796534103321
Birmingham, England : , : Packt Publishing, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Apache spark 2.x machine learning cookbook : over 100 recipes to simplify machine learning model implementations with Spark / / Siamak Amirghodsi [and three others]
Apache spark 2.x machine learning cookbook : over 100 recipes to simplify machine learning model implementations with Spark / / Siamak Amirghodsi [and three others]
Edizione [1st edition]
Pubbl/distr/stampa Birmingham, England : , : Packt Publishing, , 2017
Descrizione fisica 1 online resource (1 volume) : illustrations
Disciplina 006.754
Soggetto topico Data mining - Computer programs
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910812248103321
Birmingham, England : , : Packt Publishing, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cluster-based Localization and Tracking in Ubiquitous Computing Systems [[electronic resource] /] / by José Ramiro Martínez-de Dios, Alberto de San Bernabé-Clemente, Arturo Torres-González, Anibal Ollero
Cluster-based Localization and Tracking in Ubiquitous Computing Systems [[electronic resource] /] / by José Ramiro Martínez-de Dios, Alberto de San Bernabé-Clemente, Arturo Torres-González, Anibal Ollero
Autore Martínez-de Dios José Ramiro
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (XVI, 82 p. 32 illus., 6 illus. in color.)
Disciplina 006.754
Collana SpringerBriefs in Cooperating Objects
Soggetto topico Electrical engineering
Application software
Robotics
Automation
Communications Engineering, Networks
Information Systems Applications (incl. Internet)
Robotics and Automation
ISBN 3-662-54761-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Introduction -- 2 Architectures for target localization and tracking -- 3 Measurement integration for localization and tracking -- 4 Node inclusion/exclusion in cluster-based tracking -- 5 Cluster head selection for target tracking.
Record Nr. UNINA-9910254572603321
Martínez-de Dios José Ramiro  
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Data and Social Networks [[electronic resource] ] : 10th International Conference, CSoNet 2021, Virtual Event, November 15–17, 2021, Proceedings / / edited by David Mohaisen, Ruoming Jin
Computational Data and Social Networks [[electronic resource] ] : 10th International Conference, CSoNet 2021, Virtual Event, November 15–17, 2021, Proceedings / / edited by David Mohaisen, Ruoming Jin
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (392 pages)
Disciplina 006.754
Collana Theoretical Computer Science and General Issues
Soggetto topico Application software
Natural language processing (Computer science)
Computer networks
Data mining
Computer networks—Security measures
Computer and Information Systems Applications
Natural Language Processing (NLP)
Computer Communication Networks
Data Mining and Knowledge Discovery
Mobile and Network Security
ISBN 3-030-91434-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910512175403321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Computational Data and Social Networks [[electronic resource] ] : 10th International Conference, CSoNet 2021, Virtual Event, November 15–17, 2021, Proceedings / / edited by David Mohaisen, Ruoming Jin
Computational Data and Social Networks [[electronic resource] ] : 10th International Conference, CSoNet 2021, Virtual Event, November 15–17, 2021, Proceedings / / edited by David Mohaisen, Ruoming Jin
Edizione [1st ed. 2021.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Descrizione fisica 1 online resource (392 pages)
Disciplina 006.754
Collana Theoretical Computer Science and General Issues
Soggetto topico Application software
Natural language processing (Computer science)
Computer networks
Data mining
Computer networks—Security measures
Computer and Information Systems Applications
Natural Language Processing (NLP)
Computer Communication Networks
Data Mining and Knowledge Discovery
Mobile and Network Security
ISBN 3-030-91434-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996464445303316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Corporate branding in Facebook fan pages : ideas for improving your brand value / / Eliane Pereira Zamith Brito, Maria Carolina Zanette, Carla Caires Abdalla, Mateus Ferreira, Ricardo Limongi, and Benjamin Rosenthal
Corporate branding in Facebook fan pages : ideas for improving your brand value / / Eliane Pereira Zamith Brito, Maria Carolina Zanette, Carla Caires Abdalla, Mateus Ferreira, Ricardo Limongi, and Benjamin Rosenthal
Autore Zamith Brito Eliane Pereira
Edizione [First edition.]
Pubbl/distr/stampa New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2015
Descrizione fisica 1 online resource (150 p.)
Disciplina 006.754
Collana Digital and social media marketing and advertising collection
Soggetto topico Internet marketing
Branding (Marketing)
Corporate image
Soggetto genere / forma Electronic books.
Soggetto non controllato corporate brands
Facebook
social media
ISBN 1-60649-943-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. The role of social media in emerging markets -- 2. Small- and medium-sized enterprises in emerging countries and the use of social media -- 3. Creating online corporate brands on Facebook fan pages -- 4. Facebook fan pages, engagement, trust, and word of mouth -- 5. Creating experiences on Facebook -- 6. Measuring the performance of brand communities on Facebook -- Notes -- References -- Index.
Record Nr. UNINA-9910463711603321
Zamith Brito Eliane Pereira  
New York, New York (222 East 46th Street, New York, NY 10017) : , : Business Expert Press, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui