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El. knyga: Big Data Management and Analysis for Cyber Physical Systems: Selected Papers of BDET 2022

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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.

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
Students E-Learning in the Philippines during the COVID-19 Pandemic.
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Pastovi nuoroda: https://www.kriso.lt/db/97830311754802e.html
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