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] | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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] | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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] | ||
| Lo trovi qui: Univ. Federico II | ||
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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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Challenges and Opportunities in the Digital Era : 17th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2018, Kuwait City, Kuwait, October 30 – November 1, 2018, Proceedings / / edited by Salah A. Al-Sharhan, Antonis C. Simintiras, Yogesh K. Dwivedi, Marijn Janssen, Matti Mäntymäki, Luay Tahat, Issam Moughrabi, Taher M. Ali, Nripendra P. Rana
| Challenges and Opportunities in the Digital Era : 17th IFIP WG 6.11 Conference on e-Business, e-Services, and e-Society, I3E 2018, Kuwait City, Kuwait, October 30 – November 1, 2018, Proceedings / / edited by Salah A. Al-Sharhan, Antonis C. Simintiras, Yogesh K. Dwivedi, Marijn Janssen, Matti Mäntymäki, Luay Tahat, Issam Moughrabi, Taher M. Ali, Nripendra P. Rana |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XV, 618 p. 83 illus.) |
| Disciplina |
006
006.754 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Electronic commerce
Application software Database management Social sciences—Data processing Computer networks Computers e-Commerce and e-Business Computer and Information Systems Applications Database Management Computer Application in Social and Behavioral Sciences Computer Communication Networks Computing Milieux |
| ISBN |
9783030021313
3030021319 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Social media -- Information systems -- Marketing and communications -- Management and operations -- Public administration -- Economics, sociology, and psychology -- e-finance, e-banking, and e-accounting -- Computer science and computer engineering -- Teaching and learning. |
| Record Nr. | UNINA-9910349398103321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2018 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cluster-based Localization and Tracking in Ubiquitous Computing Systems / / 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 / / 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
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2017 | ||
| Lo trovi qui: Univ. Federico II | ||
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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 | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Computational Data and Social Networks : 10th International Conference, CSoNet 2021, Virtual Event, November 15–17, 2021, Proceedings / / edited by David Mohaisen, Ruoming Jin
| Computational Data and Social Networks : 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 | ||
| Lo trovi qui: Univ. Federico II | ||
| ||