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Data Mining and Big Data 7th International Conference, DMBD 2022, Beijing, China, November 21–24, 2022, Proceedings, Part II

Aus der Reihe Communications in Computer and Information Science
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83,99 € UVP 96,29 €

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.01.2023

Abbildungen

XX, 465 p. 161 illus., 115 illus. in color.

Herausgeber

Ying Tan + weitere

Verlag

Springer Singapore

Seitenzahl

465

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

733 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-981-19-8990-2

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

19.01.2023

Abbildungen

XX, 465 p. 161 illus., 115 illus. in color.

Herausgeber

Verlag

Springer Singapore

Seitenzahl

465

Maße (L/B/H)

23,5/15,5/2,7 cm

Gewicht

733 g

Auflage

1st ed. 2022

Sprache

Englisch

ISBN

978-981-19-8990-2

Herstelleradresse

Springer-Verlag KG
Sachsenplatz 4-6
1201 Wien
AT

Email: ProductSafety@springernature.com

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  • Produktbild: Data Mining and Big Data
  • Produktbild: Data Mining and Big Data
  • Identification and Recognition Methods .- Complementary Convolutional Restricted Boltzmann Machine and Its Applications in Image Recognition.- Text-independent Speaker Identification Using a Single-scale SincNet-DCGAN Model.- Genome-wide Feature Selection of Robust mRNA Biomarkers for Body Fluid Identification.- HOS-YOLOv5: An Improved High-precision Remote Sensing Image Target Detection Algorithm Based on YOLOv5.- A Multi-Module 3D U-Net Learning Architecture for Brain Tumor Segmentation.- Problems with Regression-line in Data-mining Applications and A Better Alternate Linear-model.- Research on Hot Spot Mining Technology for Network Public Opinion.- Research Hotspots, Emerging Trend and Front of Fraud Detection Rearch: A Scientometric Analysis (1984 - 2021).-  Optimization Methods .-   An Algorithm of Set-Based Differential Evolution for Discrete Optimization Problem.- Multi-objective Optimization Technique for RSU Deployment.- Knowledge Learning-based Brain Storm Optimization Algorithm for Multimodal Optimization.-  Market Investment Methods .- Non-Local Graph Aggregation for Diversified Stock Recommendation.- Novel Sentiment Analysis from Twitter for Stock Change Prediction.- A Novel Investment Strategy for Mixed Asset Allocation Based on Entropy-based Time Series Prediction.- A Novel Investment Strategy for Mixed Asset Allocation Based on Entropy-based Time Series Prediction.-  Community Detection and Diagnosis Systems .- A Self-Adaptive Two-Stage Local Expansion Algorithm for Community Detection on Complex Networks.-  Supervised Prototypical Variational Autoencdoer for Shilling Attack Detection in Recommender Systems.- Knowledge Graph based Chicken Disease Diagnosis Question Answering System.- Therapeutic effects of corticosteroids for critical and severe COVID-19 patients.-  Big Data Analysis .- Secure Cross-User Fuzzy Deduplication for Images in Cloud Storage.- Blockchain-based Integrity Auditing with Secure Deduplication in Cloud Storage.- Name Disambiguation Based on Entity Relationship Graph in Big Data.- Ontology-based metadata model design of data governance system.- Ontology-based Combat Force Modeling and Its Intelligent Planning Using Genetic Algorithm.- Research on Multi-channel Retrieve Mechanism Based on Heuristic.-  Big-Model Methods .- PoetryBERT: Pre-Training with Sememe Knowledge for Classical Chinese Poetry.- Image hide with Invertible Network and Swin Transformer.- Modeling and Analysis of Combat System Confrontation Based on Large-scale Knowledge Graph Network.-  Generating Aversarial Exmaples and Other  Applications .- Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN.- Defending Adversarial Examples by Negative Correlation Ensemble.- Accurate Decision-Making Method for Air Combat Pilots based on Data-Driven.- Establishment of Empirical Expression of Atmospheric Scattering Coefficient for Line-of-sight Ultraviolet Propagation in Coastal Area.-  Deep Reinforcement Learning Approach .- Heterogeneous Multi-unit Control with Curriculum Learning for Multi-agent Reinforcement Learning.- A Deep Reinforcement Learning Approach for Cooperative Target Defense.- Particle Swarm Based Reinforcement Learning.- User’s Permission Reasoning Method Based on Knowledge Graph Reward Guidance Reinforcement Learning in Data Center.- SMPG: Adaptive Soft Update for Masked MADDPG.- Attentive Relational State Representation for Intelligent Joint Operation Simulation.-  Graph Neural Networks .- Flow Prediction via Multi-view Spatial-temporal Graph Neural Network.- RotatSAGE: A Scalable Knowledge Graph Embedding Model based on Translation Assumptions and Graph Neural Networks.- Denoise Network Structure for User Alignment across Networks via Graph Structure Learning.- OLPGP: An optimized label propagation-based distributed graph partitioning algorithm.-  Deep Neural Networks .- DRGS: Low-Precision Full Quantization of Deep Neural Network with Dynamic Rounding and Gradient Scaling for Object Detection.- Emotion Recognition Based on Multi-scale Convolutional Neural Network.-Pose Sequence Model Using the Encoder-decoder Structure for 3d Pose Estimation.-Research and Analysis of Video-Based Human Pose Estimation.-Action Recognition for Solo-militant Based on ResNet and Rule Matching.- Multiple Residual Quantization of Pruning.-  Clustering Methods .- Deep Structured Graph Clustering Network.- Improved Clustering Strategies for Learning Style Identification in Massive Open Online Courses.- CSHEM - A Compressed Sensing Based Secure Data Processing Method for Electrical Data.-  Prediction Methods .- An Improved Multi-Source Spatiotemporal Data Fusion Model based on the Nearest Neighbor Grids for PM2.5 Concentration Interpolation and Prediction.- Study on the Prediction of Rice Noodle Raw Material Index Content by Deep Feature Fusion.- GAP: Goal-Aware Prediction with Hierarchical Interactive Representation for Vehicle Trajectory.- Multi-Cause Learning for Diagnosis Prediction.- Prediction of Postoperative Survival Level of Esophageal Cancer Patients Based on Kaplan-Meier(K-M) Survival Analysis and Gray Wolf Optimization (GWO)-BP Model.-  Classification Methods .- Possibilistic Reject-Classification based on Contrastive Learning in Vector Quantization Networks.- A Classification Method for Imbalanced Data Based on Ant Lion Optimizer.- Learnable Relation With Triplet Formulation For Semi-supervised Medical Image Classification.- Multi-view Classification via Twin Projection Vector Machine with Application to EEG-based Driving Fatigue Detection.- An Interpretable Conditional Augmentation Classification Approach for Imbalanced EHRs Mortality Prediction.- Combining Statistical and Semantic Features For Trajectory Point Classification.