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Big Data Computing for Geospatial Applications
| Big Data Computing for Geospatial Applications |
| Autore | Li Zhenlong |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (222 p.) |
| Soggetto topico |
Geography
Research & information: general |
| Soggetto non controllato |
big data
big geospatial data big mobile navigation trajectory data CA Markov city blocks climate science cloud cloud computing cyberGIS ELT ETL fine-grained emotion classification formalization GeoAI geographic knowledge graph geographic knowledge representation GeoKG geospatial big data geospatial computing geospatial cyberinfrastructure geospatial problem-solving geovisual analytics global terrain dataset Hadoop hazard mitigation IoT knowledge base land-use change prediction machine learning MapReduce massive data metadata missing road mobility community overlay analysis parallel computing sensor data shape complexity smart card data social media spatial thinking spatio-temporal analysis task terrain modeling topographic surface topology transit corridor trip web cataloging service workflow |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910557664803321 |
Li Zhenlong
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Distributed and Parallel Architectures for Spatial Data
| Distributed and Parallel Architectures for Spatial Data |
| Autore | Belussi Alberto |
| Pubbl/distr/stampa | Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 |
| Descrizione fisica | 1 online resource (170 p.) |
| Soggetto topico | History of engineering and technology |
| Soggetto non controllato |
Agenda 2063
arable land quality (ALQ) big data buffer analysis CUDA data warehouses DEM distributed processing technique geoportal geospatial applications geospatial big data geospatial data GIS GPU grid structure Hadoop IoT location-based aggregate queries MapReduce MapReduce-based aggregate query algorithm mobility mobility analytics monitoring and evaluation multiple flow accumulation OpenACC parallel computing parallel processing real-time soil erosion modelling spatial big data spatiotemporal OLAP sustainable development tile-pyramid visualization-oriented watershed analysis |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910674022403321 |
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Belussi Alberto
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| Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fundamentals of Data Analytics : With a View to Machine Learning / Rudolf Mathar ... [et al.]
| Fundamentals of Data Analytics : With a View to Machine Learning / Rudolf Mathar ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xi, 127 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] 62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Classification Clustering Data science Diffusion maps Dimensionality reduction Isomap Kernel methods Machine learning MapReduce Markov decision processes Matrix optimization and approximation Multidimensional Scaling Principal component analysis Spectral clustering Supervised machine learning Support Vector Machines Unsupervised machine learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN0249280 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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Fundamentals of Data Analytics : With a View to Machine Learning / Rudolf Mathar ... [et al.]
| Fundamentals of Data Analytics : With a View to Machine Learning / Rudolf Mathar ... [et al.] |
| Pubbl/distr/stampa | Cham, : Springer, 2020 |
| Descrizione fisica | xi, 127 p. : ill. ; 24 cm |
| Soggetto topico |
62-XX - Statistics [MSC 2020]
62H25 - Factor analysis and principal components; correspondence analysis [MSC 2020] 62R07 - Statistical aspects of big data and data science [MSC 2020] 68T05 - Learning and adaptive systems in artificial intelligence [MSC 2020] |
| Soggetto non controllato |
Artificial Intelligence
Classification Clustering Data science Diffusion maps Dimensionality reduction Isomap Kernel methods Machine learning MapReduce Markov decision processes Matrix optimization and approximation Multidimensional Scaling Principal component analysis Spectral clustering Supervised machine learning Support Vector Machines Unsupervised machine learning |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Titolo uniforme | |
| Record Nr. | UNICAMPANIA-VAN00249280 |
| Cham, : Springer, 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Vanvitelli | ||
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