Data Mining and Big Data : 7th International Conference, DMBD 2022, Beijing, China, November 21-24, 2022, Proceedings, Part II / edited by Ying Tan, Yuhui Shi.

Format:

Book

Contributor:

Tan, Ying., Editor.

Shi, Yuhui, Editor.

SpringerLink (Online service)

Series:

Computer Science (SpringerNature-11645)

Communications in computer and information science 1865-0937 ; 1745

Communications in Computer and Information Science, 1865-0937 ; 1745

Language:

English

Subjects (All):

Application software.

Artificial intelligence.

Image processing-Digital techniques.

Computer vision.

Computer and Information Systems Applications.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Local Subjects:

Computer and Information Systems Applications.

Artificial Intelligence.

Computer Imaging, Vision, Pattern Recognition and Graphics.

Physical Description:

1 online resource (XX, 465 pages) : 161 illustrations, 115 illustrations in color.

Edition:

1st ed. 2022.

Contained In:

Springer Nature eBook

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2022.

System Details:

text file PDF

Summary:

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 135 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, et cetera.

Contents:

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

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.

Other Format:

Printed edition:

ISBN:

978-981-19-8991-9

9789811989919

Access Restriction:

Restricted for use by site license.