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  • Produktbild: Big Data and Security
  • Produktbild: Big Data and Security
Band 1796 - 12%

Big Data and Security 4th International Conference, ICBDS 2022, Xiamen, China, December 8–12, 2022, Proceedings

Aus der Reihe Communications in Computer and Information Science
12% sparen

114,99 € UVP 131,99 €

inkl. gesetzl. MwSt., Versandkostenfrei

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.05.2023

Abbildungen

XVI, 751 p. 392 illus., 237 illus. in color.

Herausgeber

Yuan Tian + weitere

Verlag

Springer Singapore

Seitenzahl

751

Maße (L/B/H)

23,5/15,5/4,1 cm

Gewicht

1142 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-981-9932-99-3

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

31.05.2023

Abbildungen

XVI, 751 p. 392 illus., 237 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

751

Maße (L/B/H)

23,5/15,5/4,1 cm

Gewicht

1142 g

Auflage

1st ed. 2023

Sprache

Englisch

ISBN

978-981-9932-99-3

Herstelleradresse

Springer-Verlag GmbH
Tiergartenstr. 17
69121 Heidelberg
DE

Email: GPSR Kontakt

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  • Produktbild: Big Data and Security
  • Produktbild: Big Data and Security
  • Big Data&New Method .- Data-driven energy efficiency evaluation and energy anomaly detection of multi-type enterprises based on en-ergy consumption big data mining.- Research on data-driven AGC instruction execution effect recognition method.- Research on day-ahead scheduling strategy of the power system includes wind power plants and photovoltaic power stations based on big data clustering and filling.- Day-ahead scenario generation method for renewable energy based on historical data analysis.- A High-Frequency Stock Price Prediction Method based on Mode Decomposition and Deep Learning.- A Cross-Platform Instant Messaging User Association Method Based on Supervised Learning.- Research on Data Watermark Tracing System in Hadoop Environment.- Application of RFID tag in the Localization of Power Cable based on Big Data.- Research Hotspot and Evolution Trend Of Virtual Power Plant In China：an Empirical Analysis Based On BigData.- Influencing Factors Analysis and Prediction Model of Pavement Transverse Crack Based on Big Data.- Research on the evolution of new energy industry financing ecosystem under the background of big data.- A Survey of  the State-of-the-Art and Possible Extensions of Recommender System Based on Big Data.- An Innovative AdaBoost Process Using Flexible Soft Labels on Imbalanced Big Data.-  Artificial Intelligence&Machine Learning Security .- Feature Fusion based IPSO-LSSVM fault diagnosis of on-load tap.- Graphlet Based Measure to Assess Institutional Research Teams.- Logical Relationship Extraction of Multimodal South China Sea Big Data Using BERT and Knowledge Graph.- Research on Application of Knowledge Graph in War Archive Based on Big Data.- Semi-supervised learning enabled fault analysis method for power distribution network based on LSTM autoen-coder and attention mechanism.- Fault detection method for power distribution network based on ensemble learning.- Factors Influencing Chinese Users’ Willingness to Pay for O2O Knowledge Products Based on Information Adoption Model.- A Survey of Integrating Federated Learning with Smart Grids Application Prospect, Privacy Preserving and Challenges Analysis.- Application of the fusion access technology of carrier and 5G in power communication.- Muscle fatigue classification based on GA optimization of BP neural network.-  Data Technology&Network Security .- Research on typical scenario generation based on distribution network data mining and improved policy clustering.- A data-driven and deep learning-based economic evaluation method for new power system distribution grid.- Study on random generation of virtual avatars based on Big data.- Ordering, pricing, and coordination of a closed-loop supply chain with risk preference.- An explainable optimization method for assembly process parameter.- A Correlational Strategy for the Prediction of High-Dimensional Stock Data by Neural Networks and Technical Indicators.- Research on Attribute-Based Privacy-Preserving Computing technologies.- Research on BIM modeling Technology from the Perspective of Power Big Data Security.- Security risk management of the Internet of Things based on 5G technology.- Multi slice SLA collaboration and optimization of power 5G big data security business.- Virtualized Network Functions Placement Scheme in Cloud Network Collaborative Operation Platform.- Grounded Theory-Driven Knowledge Production Features Mining: one Empirical Study Based on Big Data Technology.- Research on Digital Twin Technology of Main Equipment for Power Transmission and Transformation based on Big Data.- Efficient Spatiotemporal Big Data Indexing Algorithm with Loss Control.-  Cybersecurity & Privacy .- Privacy Measurement Based on Social Network Properties and Structure.- Research on 5G-based Zero Trust Network Security Platform.- A Mobile Data Leakage Prevention System Based on Encryption Algorithms.- Research on Data Security Access Control Mechanism in Cloud Computing Environment.- Research on Data Security Storage System Based on Distributed Database.- Design of an Active Data Watermark Detection System.- Research on Privacy Protection Methods for Data Mining.- A Cluster-based Facial Image Anonymization Method Using Variational Autoencoder.-  IoT Security .- Research on the Security Diagnosis Platform for Partial Discharge of 10kV Cables in Urban Distribution Networks.- Research on the Electromagnetic Sensor-based Partial Discharge Security Monitoring System of Distribution Network.- Design of Ultrasonic-Based Remote Distribution Network Online Security Monitoring Device.- An Intelligent IoT Terminal Detection System based on Data Sniffing.- Intelligent IoT Terminal Software Identification System based on Behavior Features.- Research on the Identification Model of Power Terminal.- Research on Firmware Vulnerability Mining Model of Power Internet of Things.- How can social workers participatein big data governance? The third-party perspective on big data governance.- Power network scheduling strategy based on federated learning algorithm in edge computing environment.