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Big data technologies and applicatio...
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BDTA (Conference) (2020 :)
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Big data technologies and applications = 10th EAI International Conference, BDTA 2020, and 13th EAI International Conference on Wireless Internet, WiCON 2020, Virtual Event, December 11, 2020 : proceedings /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Big data technologies and applications/ edited by Zeng Deze ... [et al.].
其他題名:
10th EAI International Conference, BDTA 2020, and 13th EAI International Conference on Wireless Internet, WiCON 2020, Virtual Event, December 11, 2020 : proceedings /
其他題名:
BDTA 2020
其他作者:
Deze, Zeng.
團體作者:
BDTA (Conference)
出版者:
Cham :Springer International Publishing : : 2021.,
面頁冊數:
xii, 209 p. :ill., digital ;24 cm.
內容註:
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.
Contained By:
Springer Nature eBook
標題:
Big data - Congresses. -
電子資源:
https://doi.org/10.1007/978-3-030-72802-1
ISBN:
9783030728021
Big data technologies and applications = 10th EAI International Conference, BDTA 2020, and 13th EAI International Conference on Wireless Internet, WiCON 2020, Virtual Event, December 11, 2020 : proceedings /
Big data technologies and applications
10th EAI International Conference, BDTA 2020, and 13th EAI International Conference on Wireless Internet, WiCON 2020, Virtual Event, December 11, 2020 : proceedings /[electronic resource] :BDTA 2020edited by Zeng Deze ... [et al.]. - Cham :Springer International Publishing :2021. - xii, 209 p. :ill., digital ;24 cm. - Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering,3711867-8211 ;. - Lecture notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering ;371..
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.
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.
ISBN: 9783030728021
Standard No.: 10.1007/978-3-030-72802-1doiSubjects--Topical Terms:
3166510
Big data
--Congresses.
LC Class. No.: QA76.9.B45 / B37 2020
Dewey Class. No.: 005.7
Big data technologies and applications = 10th EAI International Conference, BDTA 2020, and 13th EAI International Conference on Wireless Internet, WiCON 2020, Virtual Event, December 11, 2020 : proceedings /
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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.
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