Data Mining and Big Data [E-Book] : 7th International Conference, DMBD 2022, Beijing, China, November 21-24, 2022, Proceedings, Part II / edited by Ying Tan, Yuhui Shi.
This two-volume set, CCIS 1744 and CCIS 1745 book constitutes the 7th International Conference, on Data Mining and Big Data, DMBD 2022, held in Beijing, China, in November 21-24, 2022. The 62 full papers presented in this two-volume set included in this book were carefully reviewed and selected from...
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Full text |
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Personal Name(s): | Shi, Yuhui, editor |
Tan, Ying, editor | |
Edition: |
1st edition 2022. |
Imprint: |
Singapore :
Springer,
2022
|
Physical Description: |
XX, 465 pages 161 illustrations, 115 illustrations in color (online resource) |
Note: |
englisch |
ISBN: |
9789811989919 |
DOI: |
10.1007/978-981-19-8991-9 |
Series Title: |
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Communications in Computer and Information Science ;
1745 |
Subject (LOC): |
- 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.