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221004 ||| eng |
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|a 9783031175480
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| 100 |
1 |
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|a Tang, Loon Ching
|e [editor]
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| 245 |
0 |
0 |
|a Big Data Management and Analysis for Cyber Physical Systems
|h Elektronische Ressource
|b Selected Papers of BDET 2022
|c edited by Loon Ching Tang, Hongzhi Wang
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| 250 |
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|a 1st ed. 2023
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| 260 |
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|a Cham
|b Springer International Publishing
|c 2023, 2023
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| 300 |
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|a X, 202 p. 110 illus., 74 illus. in color
|b online resource
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| 505 |
0 |
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|a Passenger Flow Control in Subway Station with Card-Swiping Data -- On Anomaly Detection in Graphs as Node Classification -- Agriculture Stimulates Chinese GDP: A Machine Learning Approach -- Short Message Service Spam Detection using BERT -- A Study on the Application of Big Data Technology in the Excavation of Intangible Cultural Resources -- Student Achievement Predictive Analytics Based on Educational Data Mining -- Prediction and Analysis of COVID-19's Prevention and Control Based on AnyLogic in the Background of Big Data -- Distributed Multi-source Service Data Stream Processing Technology and Application in Power Grid Dispatching System -- NVLSM: Virtual Split Compaction on Non-volatile Memory in LSM-tree KV Stores -- Evaluation of the Performance Character of SPIRIT Value through Pancasila Education during the Covid-19 Pandemic -- Is it Possible to Instilling Character SPIRIT Values through Civic Education during COVID-19 Pandemic? -- An Adaptive Self-detection and Self-classification Approach Using Matrix Eigenvector Trajectory -- Super-Resolution Virtual Scene of Flight Simulation Based on Convolutional Neural Networks -- User Assignment for Full-Duplex Multi-user System with Distributed Aps -- CDN Service Detection Method Based on Machine Learning -- A Decision Method for Missile Target Allocation -- A Physical Ergonomics Study on Adaptation and Discomfort of Student’s E-Learning in the Philippines during the COVID-19 Pandemic
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| 653 |
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|a Computational intelligence
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| 653 |
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|a Computational Intelligence
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| 653 |
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|a Data Engineering
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| 653 |
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|a Engineering—Data processing
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| 700 |
1 |
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|a Wang, Hongzhi
|e [editor]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Lecture Notes on Data Engineering and Communications Technologies
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| 028 |
5 |
0 |
|a 10.1007/978-3-031-17548-0
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| 856 |
4 |
0 |
|u https://doi.org/10.1007/978-3-031-17548-0?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
0 |
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|a 620.00285
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| 520 |
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|a This book consists of selected and peer-reviewed papers presented at 2022 4th International Conference on Big Data Engineering and Technology (BDET), held during April 22–24, 2022, in Singapore. As IT infrastructure and data management technologies have become critical assets and capabilities for today’s enterprises, this book aims to be part of the effort in contributing to their development. In particular, the BDET conference series aims to provide the much needed forum for researchers and practitioners across the world who are actively engaged in advancing research and raising awareness of the many challenges in the diverse field of big data engineering and technology to share their research outcomes and bounce ideas off their international colleagues. Over the last few years, the conference series has brought together the latest developments of novel theory in big data, algorithm and applications, emerging standards for big data, big data infrastructure, MapReduce and cloud computing, big data visualization, big data curation and management, big data semantics, scientific discovery and intelligence, which collectively form parts of the cyber-physical systems of interest. It is hoped that the book will prove useful to students, researchers, and professionals working in the field of big data engineering and applications in cyber-physical systems
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