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Big Data Analytics in Astronomy, Science, and Engineering : 11th International Conference on Big Data Analytics, BDA 2023, Aizu, Japan, December 5-7, 2023, Proceedings
| Big Data Analytics in Astronomy, Science, and Engineering : 11th International Conference on Big Data Analytics, BDA 2023, Aizu, Japan, December 5-7, 2023, Proceedings |
| Autore | Sachdeva Shelly |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing AG, , 2024 |
| Descrizione fisica | 1 online resource (324 pages) |
| Altri autori (Persone) | WatanobeYutaka |
| Collana | Lecture Notes in Computer Science Series |
| ISBN | 3-031-58502-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910855398803321 |
Sachdeva Shelly
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| Cham : , : Springer International Publishing AG, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Big Data Analytics in Astronomy, Science, and Engineering [[electronic resource] ] : 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5–7, 2022, Proceedings / / edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla
| Big Data Analytics in Astronomy, Science, and Engineering [[electronic resource] ] : 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5–7, 2022, Proceedings / / edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XII, 246 p. 136 illus., 112 illus. in color.) |
| Disciplina | 005.7 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Big data
Big Data |
| ISBN | 3-031-28350-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Science: Systems -- Architectures -- Big Data Analytics in Healthcare Support Systems -- Information Interchange of Web Data Resources -- Business Analytics. |
| Record Nr. | UNISA-996517752603316 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Big Data Analytics in Astronomy, Science, and Engineering [[electronic resource] ] : 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5–7, 2022, Proceedings / / edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla
| Big Data Analytics in Astronomy, Science, and Engineering [[electronic resource] ] : 10th International Conference on Big Data Analytics, BDA 2022, Aizu, Japan, December 5–7, 2022, Proceedings / / edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (XII, 246 p. 136 illus., 112 illus. in color.) |
| Disciplina | 005.7 |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Big data
Big Data |
| ISBN | 3-031-28350-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Science: Systems -- Architectures -- Big Data Analytics in Healthcare Support Systems -- Information Interchange of Web Data Resources -- Business Analytics. |
| Record Nr. | UNINA-9910682555303321 |
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big-Data-Analytics in Astronomy, Science, and Engineering [[electronic resource] ] : 9th International Conference on Big Data Analytics, BDA 2021, Virtual Event, December 7–9, 2021, Proceedings / / edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla
| Big-Data-Analytics in Astronomy, Science, and Engineering [[electronic resource] ] : 9th International Conference on Big Data Analytics, BDA 2021, Virtual Event, December 7–9, 2021, Proceedings / / edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (283 pages) |
| Disciplina | 006.312 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Computer engineering Computer networks Application software Machine learning Data Mining and Knowledge Discovery Computer Engineering and Networks Computer and Information Systems Applications Machine Learning |
| ISBN | 3-030-96600-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Science: Systems -- Big Data Management for Policy Support in Sustainable Development -- Development of the Research Data Archive at OIST -- Symbolic Regression and Graph Neural Networks for Interpretable Scientic Discovery -- A front-end framework selection assistance system with customizable quantification indicators based on analysis of repository and community data -- DATA SCIENCE: Architectures -- Autonomous real-time science-driven follow-up of survey transients -- Deep Learning Application for Reconstruction of Large-Scale Structure of the Universe -- Identification of Distinctive Behavior Patterns of Bots and Human Teams in Soccer -- Cosmic density field reconstruction with a sparsity prior using images of distant galaxies -- Big Data Analytics in Domain-Specific Systems -- Blockchain Enabled System for Interoperable Healthcare -- Skin cancer recognition for low resolution images -- Forecasting AQI data with IoT Enabled Indoor Air Quality Monitoring System -- Journey of Database Migration From RDBMS to NoSQL Data Stores -- Information Interchange of Web Data Resources -- Cascaded Anomaly Detection with Coarse Sampling in Distributed Systems -- Video Indexing System based on Multimodal Information Extraction using combination of ASR and OCR -- GA-ProM: A Genetic Algorithm for Discovery of Complete Process Models from Unbalanced logs -- Experimenting with Assamese Handwritten Character Recognition -- Business Analytics -- Approximate Fault-tolerant Data Stream Aggregation for Edge Computing -- Internet of Things Integrated with Multi-level Authentication for Secured IoT Data Stream through TLS/SSL Layer -- Enhanced Bond Energy Algorithm for Vertical Fragmentation of IoT Data in a Fog Environment -- Approximate Query Processing with Error Guarantees. . |
| Record Nr. | UNISA-996464534303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Big-Data-Analytics in Astronomy, Science, and Engineering : 9th International Conference on Big Data Analytics, BDA 2021, Virtual Event, December 7–9, 2021, Proceedings / / edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla
| Big-Data-Analytics in Astronomy, Science, and Engineering : 9th International Conference on Big Data Analytics, BDA 2021, Virtual Event, December 7–9, 2021, Proceedings / / edited by Shelly Sachdeva, Yutaka Watanobe, Subhash Bhalla |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (283 pages) |
| Disciplina | 006.312 |
| Collana | Information Systems and Applications, incl. Internet/Web, and HCI |
| Soggetto topico |
Data mining
Computer engineering Computer networks Application software Machine learning Data Mining and Knowledge Discovery Computer Engineering and Networks Computer and Information Systems Applications Machine Learning |
| ISBN | 3-030-96600-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Science: Systems -- Big Data Management for Policy Support in Sustainable Development -- Development of the Research Data Archive at OIST -- Symbolic Regression and Graph Neural Networks for Interpretable Scientic Discovery -- A front-end framework selection assistance system with customizable quantification indicators based on analysis of repository and community data -- DATA SCIENCE: Architectures -- Autonomous real-time science-driven follow-up of survey transients -- Deep Learning Application for Reconstruction of Large-Scale Structure of the Universe -- Identification of Distinctive Behavior Patterns of Bots and Human Teams in Soccer -- Cosmic density field reconstruction with a sparsity prior using images of distant galaxies -- Big Data Analytics in Domain-Specific Systems -- Blockchain Enabled System for Interoperable Healthcare -- Skin cancer recognition for low resolution images -- Forecasting AQI data with IoT Enabled Indoor Air Quality Monitoring System -- Journey of Database Migration From RDBMS to NoSQL Data Stores -- Information Interchange of Web Data Resources -- Cascaded Anomaly Detection with Coarse Sampling in Distributed Systems -- Video Indexing System based on Multimodal Information Extraction using combination of ASR and OCR -- GA-ProM: A Genetic Algorithm for Discovery of Complete Process Models from Unbalanced logs -- Experimenting with Assamese Handwritten Character Recognition -- Business Analytics -- Approximate Fault-tolerant Data Stream Aggregation for Edge Computing -- Internet of Things Integrated with Multi-level Authentication for Secured IoT Data Stream through TLS/SSL Layer -- Enhanced Bond Energy Algorithm for Vertical Fragmentation of IoT Data in a Fog Environment -- Approximate Query Processing with Error Guarantees. . |
| Record Nr. | UNINA-9910547296903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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