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

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.- 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 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.