Principles and Applications of Data Science
Data science is an emerging multidisciplinary field which lies at the intersection of computer science, statistics, and mathematics, with different applications and related to data mining, deep learning, and big data. This Special Issue on “Principles and Applications of Data Science” focuses on the...
Guardado en:
| Formato: | Online |
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| Lenguaje: | inglés |
| Publicado: |
MDPI - Multidisciplinary Digital Publishing Institute
2022
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| Materias: | |
| Acceso en línea: | ONIX_20220706_9783036545271_108 |
| Etiquetas: |
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| _version_ | 1869527527696891904 |
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| collection | Directory of Open Access Books |
| description | Data science is an emerging multidisciplinary field which lies at the intersection of computer science, statistics, and mathematics, with different applications and related to data mining, deep learning, and big data. This Special Issue on “Principles and Applications of Data Science” focuses on the latest developments in the theories, techniques, and applications of data science. The topics include data cleansing, data mining, machine learning, deep learning, and the applications of medical and healthcare, as well as social media. |
| format | Online |
| id | doab-20.500.12854ir-87513 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2022 |
| publishDateRange | 2022 |
| publishDateSort | 2022 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-875132024-04-11T15:11:11Z Principles and Applications of Data Science Liu, Chuan-Ming deep learning user preference learning feature fusion similar user recommendation convolutional neural network image classification electronic health records fair exchange forward secrecy raw material mining terminology dictionary terminology application mobile application digitization lexical data corpus data linguistic linked open data neuro-fuzzy prediction model air pollution PM2.5 PM10 self-attention mechanism graph neural network data mining behaviour sequence pattern behaviour network water crystal fine-tuning supervised classification combined classification model deep transfer learning focal-segmental kidney disease kidney glomeruli medical image sclerosed glomeruli predictive analytics Internet of Things peasant farming smart farming system crop production prediction thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Data science is an emerging multidisciplinary field which lies at the intersection of computer science, statistics, and mathematics, with different applications and related to data mining, deep learning, and big data. This Special Issue on “Principles and Applications of Data Science” focuses on the latest developments in the theories, techniques, and applications of data science. The topics include data cleansing, data mining, machine learning, deep learning, and the applications of medical and healthcare, as well as social media. 2022-07-06T11:53:50Z 2022-07-06T11:53:50Z 2022 book ONIX_20220706_9783036545271_108 9783036545271 9783036545288 https://directory.doabooks.org/handle/20.500.12854/87513 eng application/octet-stream Attribution 4.0 International https://mdpi.com/books/pdfview/book/5711 https://mdpi.com/books/pdfview/book/5711 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-0365-4528-8 10.3390/books978-3-0365-4528-8 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783036545271 9783036545288 168 Basel open access |
| spellingShingle | deep learning user preference learning feature fusion similar user recommendation convolutional neural network image classification electronic health records fair exchange forward secrecy raw material mining terminology dictionary terminology application mobile application digitization lexical data corpus data linguistic linked open data neuro-fuzzy prediction model air pollution PM2.5 PM10 self-attention mechanism graph neural network data mining behaviour sequence pattern behaviour network water crystal fine-tuning supervised classification combined classification model deep transfer learning focal-segmental kidney disease kidney glomeruli medical image sclerosed glomeruli predictive analytics Internet of Things peasant farming smart farming system crop production prediction thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Principles and Applications of Data Science |
| title | Principles and Applications of Data Science |
| title_full | Principles and Applications of Data Science |
| title_fullStr | Principles and Applications of Data Science |
| title_full_unstemmed | Principles and Applications of Data Science |
| title_short | Principles and Applications of Data Science |
| title_sort | principles and applications of data science |
| topic | deep learning user preference learning feature fusion similar user recommendation convolutional neural network image classification electronic health records fair exchange forward secrecy raw material mining terminology dictionary terminology application mobile application digitization lexical data corpus data linguistic linked open data neuro-fuzzy prediction model air pollution PM2.5 PM10 self-attention mechanism graph neural network data mining behaviour sequence pattern behaviour network water crystal fine-tuning supervised classification combined classification model deep transfer learning focal-segmental kidney disease kidney glomeruli medical image sclerosed glomeruli predictive analytics Internet of Things peasant farming smart farming system crop production prediction thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | deep learning user preference learning feature fusion similar user recommendation convolutional neural network image classification electronic health records fair exchange forward secrecy raw material mining terminology dictionary terminology application mobile application digitization lexical data corpus data linguistic linked open data neuro-fuzzy prediction model air pollution PM2.5 PM10 self-attention mechanism graph neural network data mining behaviour sequence pattern behaviour network water crystal fine-tuning supervised classification combined classification model deep transfer learning focal-segmental kidney disease kidney glomeruli medical image sclerosed glomeruli predictive analytics Internet of Things peasant farming smart farming system crop production prediction thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20220706_9783036545271_108 |