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Data Science and Knowledge Discovery
| Data Science and Knowledge Discovery |
| Autore | Portela Filipe |
| Pubbl/distr/stampa | Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 |
| Descrizione fisica | 1 electronic resource (254 p.) |
| Soggetto topico |
Information technology industries
Computer science |
| Soggetto non controllato |
crisis reporting
chatbots journalists news media COVID-19 textbook research digital humanities digital infrastructures data analysis content base image retrieval semantic information retrieval deep features multimedia document retrieval data science open government data governance and social institutions economic determinants of open data geoinformation technology fractal dimension territorial road network box-counting framework script Python ArcGIS internet of things LoRaWAN ICT The Things Network ESP32 microcontroller decision systems rule based systems databases rough sets prediction by partial matching spatio-temporal activity recognition smart homes artificial intelligence automation e-commerce machine learning big data customer relationship management (CRM) distracted driving driving behavior driving operation area data augmentation feature extraction authorship text mining attribution neural networks deep learning forensic intelligence dashboard WebGIS data analytics SARS-CoV-2 Big Data Web Intelligence media analytics social sciences humanities linked open data adaptation process interdisciplinary research media criticism classification information systems public health data mining ioCOVID19 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910576878103321 |
Portela Filipe
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| Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Open Data in Developing Economies : Toward Building an Evidence Base on What Works and How / / Stefaan G. Verhulst and Andrew Young
| Open Data in Developing Economies : Toward Building an Evidence Base on What Works and How / / Stefaan G. Verhulst and Andrew Young |
| Autore | Verhulst Stefaan (Stefaan G.) |
| Pubbl/distr/stampa | African Minds, 2017 |
| Descrizione fisica | 1 online resource (286 pages) : illustrations |
| Disciplina | 005.7094 |
| Soggetto topico |
Big data - Developing countries
Internet in public administration - Developing countries Electronic government information - Developing countries |
| Soggetto genere / forma | Electronic books. |
| Soggetto non controllato |
developing world
impact open data open government data |
| ISBN | 1-928331-60-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | 1. Introduction -- part I. Open data for development -- 2. The relevance of open data for developing economies -- 3. The impact of open data on developing economies -- 4. The impact of open data in developing economies across sectors -- part II. Case studies -- Open data's impact on improving government. 5. Burundi's open RBF -- 6. India's ESMI -- 7. Open Development Cambodia -- 8. Uganda's iparticipate -- Open data's impact on empowering citizens. 9. Gottovote! Kenya -- 10. Tanzania's open education dashboards -- 11. South Africa's Medicine Price Registry -- Open data's impact on creating opportunity. 12. Aclímate Colombia -- 13. Ghana's Esoko -- 14. Jamaica's Interactive Community Mapping -- Open data's impact on solving public problems. 15. Nepal earthquake recovery -- 16. Paraguay's dengue prediction -- part III. Conclusion -- 17. Leveraging open data as a new asset for development. |
| Record Nr. | UNINA-9910229241203321 |
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Verhulst Stefaan (Stefaan G.)
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| African Minds, 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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