Data Mining and Big Data: 7th International Conference, DMBD 2022, Beijing, China, November 2124, 2022, Proceedings, Part I 1st ed. 2022 [Mīkstie vāki]

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.- Users 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 Identication 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-Classication based on Contrastive Learning in Vector Quantization
Networks.- A Classication Method for Imbalanced Data Based on Ant
Lion Optimizer.- Learnable Relation With Triplet Formulation For
Semi-supervised Medical Image Classication.- Multi-view Classication via
Twin Projection Vector Machine with Application to EEG-based Driving Fatigue
Detection.- An Interpretable Conditional Augmentation Classication Approach
for Imbalanced EHRs MortalityPrediction.- Combining Statistical and Semantic
Features For Trajectory Point Classication.- Identification and Recognition
Methods.- Complementary Convolutional Restricted Boltzmann Machine and
Its Applications in Image Recognition.- Text-independent Speaker
Identication Using a Single-scale SincNet-DCGAN Model.- Genome-wide Feature
Selection of Robust mRNA Biomarkers for Body Fluid
Identication.- 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 Dierential 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 Diversied 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.- The
Framework of Hammer Credit Rating System for Enterprises in Capital Markets
of China with International Standards.- 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
eects 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 Coecient for Line-of-sight Ultraviolet Propagation in Coastal
Area.