Methods and Applications of Data Management and Analytics
This Special Issue of Applied Sciences focuses on innovative methods and applications in data management and analytics, addressing the challenges posed by the growing volume, velocity, and variety of data in today's world. This Issue highlights advancements in big data processing, data mining, AI-dr...
Gorde:
| Formatua: | Online |
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| Hizkuntza: | ingelesa |
| Argitaratua: |
MDPI - Multidisciplinary Digital Publishing Institute
2025
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| Gaiak: | |
| Sarrera elektronikoa: | ONIX_20250812T095121_9783725832064_77 |
| Etiketak: |
Etiketarik gabe, Izan zaitez lehena erregistro honi etiketa jartzen!
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| _version_ | 1869530053241470976 |
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| collection | Directory of Open Access Books |
| description | This Special Issue of Applied Sciences focuses on innovative methods and applications in data management and analytics, addressing the challenges posed by the growing volume, velocity, and variety of data in today's world. This Issue highlights advancements in big data processing, data mining, AI-driven database systems, graph data analysis, and spatial–temporal data management, among other key areas. |
| format | Online |
| id | doab-20.500.12854ir-165128 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2025 |
| publishDateRange | 2025 |
| publishDateSort | 2025 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-1651282025-08-12T08:04:14Z Methods and Applications of Data Management and Analytics Zhang, Wenjie Yang, Zhengyi data separability data complexity deep learning theory catapult phase neural tangent kernel artificial intelligence computer vision data requirements data-centric artificial intelligence deep learning label quality assurance machine learning object detection requirements engineering AI fairness bias analysis data analytics weather prediction climate prediction meteorological forecasting survey job recommendation semantic keyword matching reciprocity social networks college graduates electroencephalogram emotion classification data mining data analysis human management employee performance scores demand prediction Graph Neural Network spatial information anomaly generation variational Bayes attention mechanism recurrent neural network industrial control system privacy privacy risk privacy risk assessment mobility re-identification computation improvements risk trajectory carbon pricing temporal convolutional network climate policy time series forecasting NAND memories data extraction and analysis electronic evidence forensic electronics evidence acquisition experimental learning n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology This Special Issue of Applied Sciences focuses on innovative methods and applications in data management and analytics, addressing the challenges posed by the growing volume, velocity, and variety of data in today's world. This Issue highlights advancements in big data processing, data mining, AI-driven database systems, graph data analysis, and spatial–temporal data management, among other key areas. 2025-08-12T08:04:12Z 2025-08-12T08:04:12Z 2025 book ONIX_20250812T095121_9783725832064_77 9783725832064 9783725832057 https://directory.doabooks.org/handle/20.500.12854/165128 eng image/jpeg Attribution 4.0 International https://mdpi.com/books https://mdpi.com/books/pdfview/book/10532 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-7258-3205-7 10.3390/books978-3-7258-3205-7 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783725832064 9783725832057 300 open access |
| spellingShingle | data separability data complexity deep learning theory catapult phase neural tangent kernel artificial intelligence computer vision data requirements data-centric artificial intelligence deep learning label quality assurance machine learning object detection requirements engineering AI fairness bias analysis data analytics weather prediction climate prediction meteorological forecasting survey job recommendation semantic keyword matching reciprocity social networks college graduates electroencephalogram emotion classification data mining data analysis human management employee performance scores demand prediction Graph Neural Network spatial information anomaly generation variational Bayes attention mechanism recurrent neural network industrial control system privacy privacy risk privacy risk assessment mobility re-identification computation improvements risk trajectory carbon pricing temporal convolutional network climate policy time series forecasting NAND memories data extraction and analysis electronic evidence forensic electronics evidence acquisition experimental learning n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Methods and Applications of Data Management and Analytics |
| title | Methods and Applications of Data Management and Analytics |
| title_full | Methods and Applications of Data Management and Analytics |
| title_fullStr | Methods and Applications of Data Management and Analytics |
| title_full_unstemmed | Methods and Applications of Data Management and Analytics |
| title_short | Methods and Applications of Data Management and Analytics |
| title_sort | methods and applications of data management and analytics |
| topic | data separability data complexity deep learning theory catapult phase neural tangent kernel artificial intelligence computer vision data requirements data-centric artificial intelligence deep learning label quality assurance machine learning object detection requirements engineering AI fairness bias analysis data analytics weather prediction climate prediction meteorological forecasting survey job recommendation semantic keyword matching reciprocity social networks college graduates electroencephalogram emotion classification data mining data analysis human management employee performance scores demand prediction Graph Neural Network spatial information anomaly generation variational Bayes attention mechanism recurrent neural network industrial control system privacy privacy risk privacy risk assessment mobility re-identification computation improvements risk trajectory carbon pricing temporal convolutional network climate policy time series forecasting NAND memories data extraction and analysis electronic evidence forensic electronics evidence acquisition experimental learning n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | data separability data complexity deep learning theory catapult phase neural tangent kernel artificial intelligence computer vision data requirements data-centric artificial intelligence deep learning label quality assurance machine learning object detection requirements engineering AI fairness bias analysis data analytics weather prediction climate prediction meteorological forecasting survey job recommendation semantic keyword matching reciprocity social networks college graduates electroencephalogram emotion classification data mining data analysis human management employee performance scores demand prediction Graph Neural Network spatial information anomaly generation variational Bayes attention mechanism recurrent neural network industrial control system privacy privacy risk privacy risk assessment mobility re-identification computation improvements risk trajectory carbon pricing temporal convolutional network climate policy time series forecasting NAND memories data extraction and analysis electronic evidence forensic electronics evidence acquisition experimental learning n/a thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | ONIX_20250812T095121_9783725832064_77 |