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Big Data Technologies and Applications de Zeng Deze

Big Data Technologies and Applications: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, cartea 371

Editat de Zeng Deze, Huan Huang, Rui Hou, Seungmin Rho, Naveen Chilamkurti
en Limba Engleză Paperback – 9 apr 2021
This book constitutes the refereed post-conference proceedings of the 10th International Conference on Big Data Technologies and Applications, BDTA 2020, and the 13th International Conference on Wireless Internet, WiCON 2020, held in December 2020. Due to COVID-19 pandemic the conference was held virtually. The 9 full papers of BDTA 2020 were selected from 22 submissions and present all big data technologies, such as storage, search and management.
WiCON 2020 received 18 paper submissions and after the reviewing process 5 papers were accepted. The main topics include wireless and communicating networks, wireless communication security, green wireless network architectures and IoT based applications.
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Specificații

ISBN-13: 9783030728014
ISBN-10: 3030728013
Pagini: 224
Ilustrații: XII, 209 p. 80 illus., 46 illus. in color.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.35 kg
Ediția:1st edition 2021
Editura: Springer
Colecția Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Seria Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

Locul publicării:Cham, Switzerland

Cuprins

Constructing Knowledge Graph for Prognostics and Health Management of On-board Train Control System based on Big Data and XGBoost.- Early Detecting the At-risk Students in Online Courses based on Their Behavior Sequences Do College Students Adapt to Their Personal Learning EnvironmentPLE? A Single-Group Study.- A big data intelligence marketplace and secure analytics experimentation platform for the aviation industry.- A Multi-Valued Logic Assessment of Organizational Performance via Workforce Social Networking.- Research on the Sharing and Application of TCM Digital Resources.- Statistical Research on Macroeconomic Big Data:Using a Bayesian Stochastic Volatility Model Introducing and benchmarking a one-shot learning gesture recognition dataset.- NetFlow Datasets for Machine Learning-based Network Intrusion Detection Systems.- Performance Evaluation of Energy Detection, Matched Filtering and KNN under Different Noise Models.- Hybrid Deep-readout Echo State Network and Support Vector Machine with Feature Selection for Human Activity Recognition.- Research on User Privacy Security of China’s Top Ten Online Game Platforms Spectrum Sensing and Prediction for 5G Radio.- Towards Preventing Neighborhood Attacks: Proposal of A New Anonymization’s Approach for Social Networks Data.