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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 electronic resource (222 p.) |
| Soggetto topico |
Research & information: general
Geography |
| Soggetto non controllato |
task
workflow geospatial problem-solving knowledge base social media big data fine-grained emotion classification spatio-temporal analysis hazard mitigation missing road city blocks topology big mobile navigation trajectory data geographic knowledge representation geographic knowledge graph formalization GeoKG overlay analysis shape complexity massive data cloud parallel computing geovisual analytics machine learning smart card data transit corridor mobility community trip CA Markov land-use change prediction Hadoop MapReduce cloud computing ETL ELT sensor data IoT geospatial big data climate science metadata web cataloging service big geospatial data geospatial cyberinfrastructure topographic surface terrain modeling global terrain dataset geospatial computing cyberGIS GeoAI spatial thinking |
| 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 electronic resource (170 p.) |
| Soggetto topico | History of engineering & technology |
| Soggetto non controllato |
spatial big data
parallel processing MapReduce arable land quality (ALQ) GIS big data IoT Hadoop geospatial big data geospatial applications buffer analysis real-time visualization-oriented tile-pyramid parallel computing soil erosion modelling mobility data warehouses spatiotemporal OLAP mobility analytics location-based aggregate queries distributed processing technique grid structure MapReduce-based aggregate query algorithm watershed analysis multiple flow accumulation DEM CUDA OpenACC GPU sustainable development Agenda 2063 geoportal monitoring and evaluation geospatial data |
| 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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