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Big data management and analysis for cyber physical systemsselected papers of BDET 2022 /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Big data management and analysis for cyber physical systemsedited by Loon Ching Tang, Hongzhi Wang.
Reminder of title:	selected papers of BDET 2022 /
remainder title:	BDET 2022
other author:	Tang, Loon Ching.
corporate name:
Published:	Cham :Springer International Publishing :2023.
Description:	x, 202 p. :ill. (chiefly color), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Big dataCongresses.
Online resource:	https://doi.org/10.1007/978-3-031-17548-0
ISBN:	9783031175480$q(electronic bk.)

Big data management and analysis for cyber physical systemsselected papers of BDET 2022 /
Big data management and analysis for cyber physical systemsselected papers of BDET 2022 /[electronic resource] :BDET 2022edited by Loon Ching Tang, Hongzhi Wang. - Cham :Springer International Publishing :2023. - x, 202 p. :ill. (chiefly color), digital ;24 cm. - Lecture notes on data engineering and communications technologies,v. 1502367-4520 ;. - Lecture notes on data engineering and communications technologies ;v.2..

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.

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.

ISBN: 9783031175480$q(electronic bk.)

Standard No.: 10.1007/978-3-031-17548-0doiSubjects--Topical Terms:

592065
Big data
--Congresses.

LC Class. No.: QA76.9.B45

Dewey Class. No.: 005.7

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505 0 $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.
520 $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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