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ASONAM 2021 : proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining : ASONAM '21, November 8-11, 2021, Virtual Event, Netherlands / / editors: Michele Coscia, Alfredo Cuzzocrea, Kai Shu ; committee: Reda Alhajj [and 28 others]
| ASONAM 2021 : proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining : ASONAM '21, November 8-11, 2021, Virtual Event, Netherlands / / editors: Michele Coscia, Alfredo Cuzzocrea, Kai Shu ; committee: Reda Alhajj [and 28 others] |
| Pubbl/distr/stampa | New York : , : Association for Computing Machinery, , 2021 |
| Descrizione fisica | 1 online resource : illustrations |
| Disciplina | 794.8 |
| Soggetto topico |
Big data
Bioinformatics Data mining Medical informatics Online social networks Open source intelligence |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Altri titoli varianti |
Proceedings of the 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining
2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining IEEE/ACM ASONAM 2021 ASONAM '21 2021 IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM) International Conference on Advances in Social Networks Analysis and Mining |
| Record Nr. | UNINA-9910548283503321 |
| New York : , : Association for Computing Machinery, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Benchmarking, Measuring, and Optimizing [[electronic resource] ] : 15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3–5, 2023, Revised Selected Papers / / edited by Sascha Hunold, Biwei Xie, Kai Shu
| Benchmarking, Measuring, and Optimizing [[electronic resource] ] : 15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3–5, 2023, Revised Selected Papers / / edited by Sascha Hunold, Biwei Xie, Kai Shu |
| Autore | Hunold Sascha |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (201 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
XieBiwei
ShuKai |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computer and Information Systems Applications |
| ISBN | 981-9703-16-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ICBench: Benchmarking Knowledge Mastery in Introductory Computer Science Education -- Generating High Dimensional Test Data for Topological Data Analysis -- Does AI for Science Need Another ImageNet or Totally Different Benchmarks? A Case Study of Machine Learning Force Fields -- MolBench: A Benchmark of AI Models for Molecular Property Prediction -- Cross-Layer Profiling of IoTBench -- MMDBench: A Benchmark for Hybrid Query in Multimodal Database -- Benchmarking Modern Databases for Storing and Profiling Very Large Scale HPC Communication Data -- A Linear Combination-based Method to Construct Proxy Benchmarks for Big Data Workloads -- AGIBench: A Multi-granularity, Multimodal, Human-referenced, Auto-scoring Benchmark for Large Language Models -- Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis -- Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis. |
| Record Nr. | UNINA-9910838276303321 |
Hunold Sascha
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Benchmarking, Measuring, and Optimizing [[electronic resource] ] : 15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3–5, 2023, Revised Selected Papers / / edited by Sascha Hunold, Biwei Xie, Kai Shu
| Benchmarking, Measuring, and Optimizing [[electronic resource] ] : 15th BenchCouncil International Symposium, Bench 2023, Sanya, China, December 3–5, 2023, Revised Selected Papers / / edited by Sascha Hunold, Biwei Xie, Kai Shu |
| Autore | Hunold Sascha |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (201 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) |
XieBiwei
ShuKai |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Application software
Computer and Information Systems Applications |
| ISBN | 981-9703-16-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | ICBench: Benchmarking Knowledge Mastery in Introductory Computer Science Education -- Generating High Dimensional Test Data for Topological Data Analysis -- Does AI for Science Need Another ImageNet or Totally Different Benchmarks? A Case Study of Machine Learning Force Fields -- MolBench: A Benchmark of AI Models for Molecular Property Prediction -- Cross-Layer Profiling of IoTBench -- MMDBench: A Benchmark for Hybrid Query in Multimodal Database -- Benchmarking Modern Databases for Storing and Profiling Very Large Scale HPC Communication Data -- A Linear Combination-based Method to Construct Proxy Benchmarks for Big Data Workloads -- AGIBench: A Multi-granularity, Multimodal, Human-referenced, Auto-scoring Benchmark for Large Language Models -- Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis -- Automated HPC Workload Generation Combining Statistical Modeling and Autoregressive Analysis. |
| Record Nr. | UNISA-996587862003316 |
|
Hunold Sascha
|
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Disinformation, Misinformation, and Fake News in Social Media [[electronic resource] ] : Emerging Research Challenges and Opportunities / / edited by Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
| Disinformation, Misinformation, and Fake News in Social Media [[electronic resource] ] : Emerging Research Challenges and Opportunities / / edited by Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource |
| Disciplina | 070.43 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Data mining
Social sciences—Data processing Social sciences—Computer programs Application software Social media Journalism Data Mining and Knowledge Discovery Computational Social Sciences Computer Appl. in Social and Behavioral Sciences Social Media |
| ISBN | 3-030-42699-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Social Network Analysis and Cyber Forensics Informed Exploration of Disinformation Campaigns -- Mitigating Fake News through Fact-checking URL recommendation -- Detecting Fake News with Semi-supervised Tensor Decomposition -- Learning Hierarchical Discourse-level Structure for Fake News Detection -- Mining Styles and Emotions for Fake News Detection -- Fake News Detection with Deep Diffusive Network Model -- Fake News Detection: An Interdisciplinary Research -- Jointly Identifying Framing Bias and Detecting Fake News on Social Media. |
| Record Nr. | UNISA-996465359703316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Disinformation, Misinformation, and Fake News in Social Media [[electronic resource] ] : Emerging Research Challenges and Opportunities / / edited by Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
| Disinformation, Misinformation, and Fake News in Social Media [[electronic resource] ] : Emerging Research Challenges and Opportunities / / edited by Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource |
| Disciplina | 070.43 |
| Collana | Lecture Notes in Social Networks |
| Soggetto topico |
Data mining
Social sciences—Data processing Social sciences—Computer programs Application software Social media Journalism Data Mining and Knowledge Discovery Computational Social Sciences Computer Appl. in Social and Behavioral Sciences Social Media |
| ISBN | 3-030-42699-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Social Network Analysis and Cyber Forensics Informed Exploration of Disinformation Campaigns -- Mitigating Fake News through Fact-checking URL recommendation -- Detecting Fake News with Semi-supervised Tensor Decomposition -- Learning Hierarchical Discourse-level Structure for Fake News Detection -- Mining Styles and Emotions for Fake News Detection -- Fake News Detection with Deep Diffusive Network Model -- Fake News Detection: An Interdisciplinary Research -- Jointly Identifying Framing Bias and Detecting Fake News on Social Media. |
| Record Nr. | UNINA-9910410033903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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