Advanced Data Mining and Applications : 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part I /
This book constitutes the refereed proceedings of the 19th International Conference on Advanced Data Mining and Applications, ADMA 2023, held in Shenyang, China, during August 21-23, 2023. The 216 full papers included in this book were carefully reviewed and selected from 503 submissions. They were...
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| Other Authors: | , , , , , , , |
| Format: | Book |
| Language: | English |
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Cham :
Springer Nature Switzerland : Imprint: Springer,
2023
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| Edition: | 1st ed. 2023 |
| Series: | Lecture Notes in Artificial Intelligence,
14176 Lecture Notes in Artificial Intelligence, 14177 Lecture Notes in Artificial Intelligence, 14178 Lecture Notes in Artificial Intelligence, 14179 Lecture Notes in Artificial Intelligence, 14180 |
| Subjects: |
Table of Contents:
- ^^ A Hybrid Intelligent Model SFAHP-ANFIS-PSO for Technical Capability Evaluation of Manufacturing Enterprises
- A method for data exchange and management in the military industry field. Ping Wu ((AVIC Shenyang Aircraft Design & Research Institute)
- Multi-region Quality Assessment based on Spatial-Temporal Community Detection from Computed Tomography Images
- ^^ A Novel Explainable Rumor Detection Model with Fusing Objective Information
- VLS: A Reinforcement Learning-based Value Lookahead Strategy for Multi-product Order Fulfillment
- Deep Reinforcement Learning for Stock Trading with Behavioral Finance Strategy
- Ensemble Learning based Employment Recommendation under Interaction Sparsity for College Students
- How does ChatGPT Affect Fake News Detection Systems?
- CNGT: Co-attention Networks with Graph Transformer for Fact Verification
- Multi-Modal
- Supervised Discriminative Discrete Hashing for Cross-modal Retrieval
- A Knowledge-enhanced Inferential Network for Cross-modality Multi-hop VQA
- Multi-Head Similarity Feature Representation and Filtration for Image-Text Matching
- Multimodal Conditional VAE for Zero-shot Real-world Event Discovery
- MAMRP: Multi-modal Data Aware Movie Rating Prediction
- MFMGC: A Multi-Modal Data Fusion Model for Movie Genre Classification
- ^
- ^^ A Novel Variational Autoencoder with Multi-Position Latent Self-Attention and Actor-Critic for Recommendation
- Fair Re-ranking Recommendation Based on Debiased Multi-Graph Representations
- Information Extraction
- FastNER: Speeding Up Inferences for Named Entity Recognition Tasks
- CPMFA: A Character Pair-Based Method for Chinese Nested Named Entity Recognition
- STMC-GCN: A Span Tagging Multi-Channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction
- Exploring the Design Space of Unsupervised Blocking with Pre-trained Language Models in Entity Resolution
- Joint Modeling of Local and Global Semantics for Contrastive Entity Disambiguation
- Fine-grained Review Analysis using BERT with Attention: A Categorical and Rating-based Approach
- Emotional Analysis
- Discovery of Emotion Implicit Causes in Products based on Commonsense Reasoning
- Multi-modal Multi-emotion Emotional Support Conversation
- ^
- ^^ An Extractive Automatic Summarization Method for Chinese Long Text
- A Likelihood Probability-based Online Summarization Ranking Model
- Spatial Commonsense Reasoning for Machine Reading Comprehension
- Multimodal learning for Automatic Summarization: A Survey
- Deep Knowledge Tracing with Concept Trees
- Privacy and Security
- Cryptography-Inspired Federated Learning for Generative Adversarial Networks and Meta Learning
- A Hessian-Based Federated Learning Approach to tackle Statistical Heterogeneity
- Analyzing the Convergence of Federated Learning with Biased Client Participation
- Privacy Lost in online Education: Analysis of Web Tracking Evolution
- DANAA: Towards transferable attacks with double adversarial neuron attribution
- CRNN-SA: A Network Intrusion Detection Method Based on Deep Learning
- Applications
- Conspiracy Spoofing Orders Detection with Transformer-based Deep Graph Learning
- ^
- ^^ Calibrating Popularity Bias Based on Quality for Fairness Recommendation
- Searching User Community and Attribute Location Cluster in Location-Based Social Networks
- Efficient Size-Constrained (k, d)-Truss Community Search
- FSKD: Detecting Fake News with Few-Shot Knowledge Distillation
- STIP: A Seasonal Trend Integrated Predictor for Blood Glucose Level in Time Series
- Window-Controlled Sepsis Prediction Using a Model Selection Approach
- An Effective Pre-trained Visual Encoder for Medical Visual Question Answering
- BBAC: Blockchain-based access control scheme for EHRs with data sharing support
- Cross-genre Retrieval for Information Integrity: A COVID-19 Case Study
- PBCI-DS: A Benchmark Peripheral Blood Cell Image Dataset for Object Detection
- Skilled Task Assignment with Extra Budget in Spatial Crowdsourcing
- Synchronous Prediction of Asset Prices' Multivariate Time Series based on Multi-task Learning and Data Augmentation
- ^
- ^^ DetOH: An Anchor-free Object Detector with Only Heatmaps
- LAANet: An Efficient Automatic Modulation Recognition Model Based on LSTM-Autoencoder and Attention Mechanism
- A Compact Phoneme-To-Audio Aligner for Singing Voice
- Song-to-Video Translation: Writing a Video from Song Lyrics Based on Multimodal Pre-Training
- Medical Image Analysis
- Breast Cancer Histopathology Image Classification Using Frequency Attention Convolution Network
- Wavelet-SVDD: Anomaly Detection and Segmentation with Frequency Domain Attention
- Anatomical-Functional Fusion Network for Lesion Segmentation using Dual-view CEUS
- SpMVNet: Spatial Multi-view Network for Head and Neck Organs at Risk Segmentation
- SNN-BS: A Clinical Terminology Standardization Method using Siamese Networks with Batch Sampling Strategy
- Natural Language
- Read then Respond: Multi-granularity Grounding Prediction for Knowledge-Grounded Dialogue Generation
- SUMO-PEGASUS: A Two-Stage Model for Long Text Summarization
- ^
- ^^ Enhancing Multimedia Recommendation through Item-Item Semantic Denoising and Global Preference Awareness
- Resident-based Store Recommendation Model for Community Commercial Planning.c
- ^^ Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations
- Generating Enlightened Suggestions based on Mental State Evolution for Emotional Support Conversation
- Deep One-Class Fine-Tuning for Imbalanced Short Text Classification in Transfer Learning
- EmoKnow: Emotion- and Knowledge-oriented Model for COVID-19 Fake News Detection
- Popular Songs: The Sentiment Surrounding the Conversation
- Market Sentiment Analysis based on Social Media and Trading Volume for Asset Price Movement Prediction
- Data Mining
- Efficient mining of high utility co-location patterns based on a query strategy
- Point-level Label-free Segmentation Framework for 3D Point Cloud Semantic Mining
- CD-BNN: Causal Discovery with Bayesian Neural Network
- A Preference-based Indicator Selection Hyper-heuristic for Optimization Problems
- An Elastic Scalable Grouping for Stateful Operators in Stream Computing Systems
- ^
- ^^ Incremental natural gradient boosting for probabilistic regression
- Discovering Skyline Periodic Itemset Patterns in Transaction Sequences
- Double-optimized CS-BP Anomaly Prediction for Control Operation Data
- Bridging the Interpretability Gap in Coupled Neural Dynamical Models
- Multidimensional Adaptative kNN Over Tracking Outliers (Makoto)
- Traffic
- MANet: An End-to-End Multiple Attention Network for Extracting Roads around EHV Transmission Lines from High-Resolution Remote Sensing Images
- Deep Reinforcement Learning for Solving the Trip Planning Query
- MDCN: Multi-Scale Dilated Convolutional Enhanced Residual Network for Traffic Sign Detection
- Identifying Critical Congested Roads based on Traffic Flow-Aware Road Network Embedding
- A Cross-Region-based Framework for Supporting Car-Sharing
- Attention-based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting
- ^
- ^^ M2HGCL: Multi-Scale Meta-Path Integrated Heterogeneous Graph Contrastive Learning
- ^^ MGCP:A Multi-View Diffusing Graphs based Traffic Congestion Prediction for Roads around Factory
- M2MTR: Reposition Idle Taxis in The Many-to-Many Manner with Multi-Agent Reinforcement Learning
- Difficulty-Controlled Question Generation in Adaptive Education for Few-shot Learning
- A Multi-Truth Discovery Approach Based on Confidence Interval Estimation of Truths
- Development and Application of Flight Parameter Data Analysis Based on Multi-text Timescale Alignment
- LFD-CD: Peripheral Blood Cells Detection Using a Lightweight Cell Detection Model with Full-connection and Dropconnect
- An Effective Pre-trained Visual Encoder for Medical Visual Question Answering
- A Spatio-Temporal Attention-based GCN for Anti-Money Laundering Transaction Detection
- ^^ MTSTI: A Multi-task Learning Framework for Spatiotemporal Imputation
- TIGAN: Trajectory Imputation via Generative Adversarial Network
- Continuous Group Nearest Neighbor Query over Sliding Window
- Exploration of Stochastic Selection of Splitting Attributes as a Source of Inducing Diversity
- Machine Unlearning Methodology base on Stochastic Teacher Network
- CNMBI: Determining the Number of Clusters Using Center Pairwise Matching and Boundary Filtering
- TS-MVP:Time-Series Representation Learning by Multi-View Prototypical Contrastive Learning
- Feature Selection Method for High Dimensional Data Based on Improved BOA in AIoT
- DACI: An index structure supporting attributed community queries
- Persistent Community Search over Temporal Bipartite Graphs
- Applications (Including Industry Track Papers)
- D-Score: A White-Box Diagnosis Score for CNNs Based on Mutation Operators
- CTKM: Crypto-based user clustering on web Transaction data
- ^
- ^^ Multi-Teacher Local Semantic Distillation from Graph Neural Networks
- AutoAM: An End-To-End Neural Model for Automatic and Universal Argument Mining
- Rethinking the Evaluation of Deep Neural Network Robustness
- A Visual Interpretation-Based Self-Improved Classification System Using Virtual Adversarial Training
- TSCMR:Two-Stage Cross-Modal Retrieval
- Effi-Emp: An AI based approach towards positive empathic expressions
- Industry Track Papers
- Research on Image Segmentation Algorithm Based on Level Set. Ping Wu ((AVIC Shenyang Aircraft Design & Research Institute)
- Predicting learners' performance using MOOC clickstream
- A Fine-grained Verification Method for Blockchain Data Based on Merkle Path Sharding
- A Privacy Preserving Method for Trajectory Data Publishing Based on Geo-indistinguishability
- HA-CMNet: A Driver CTR Model for Vehicle-Cargo Matching in O2O Platform
- ^
- ^^ Open Text Classification Based on Dynamic Boundary Balance
- A Prompt Tuning Method for Chinese Medical Text Classification
- TabMentor: Detect Errors on Tabular Data with Noisy Labels
- Label-aware Hierarchical Contrastive Domain Adaptation for Cross-network Node Classification
- Semi-supervised classification based on Graph Convolution Encoder Representations from BERT
- Global Balanced Text Classification for Stable Disease Diagnosis
- Graph
- Dominance Maximization in Uncertain Graphs
- LAGCL: Towards Stable and Automated Graph Contrastive Learning
- Discriminative Graph-level Anomaly Detection via Dual-students-teacher Model
- Common-Truss-based Community Search on Multilayer Graphs
- Learning To Predict Shortest Path Distance
- Efficient Regular Path Query Evaluation with Structural Path Constraints.EnSpeciVAT: Enhanced SpeciVAT for Cluster Tendency Identification in Graphs
- Pessimistic Adversarially Regularized Learning for Graph Embedding
- ^
- ^^ Symbolic & Acoustic: Multi-domain Music Emotion Modeling for Instrumental Music
- Document-level Relation Extraction with Relational Reasoning and Heterogeneous Graph Neural Networks
- A Chinese Named Entity Recognition Method based on Textual Information Perception Fusion
- Aspect-Based Sentiment Analysis via BERT and Multi-Scale CBAM
- A novel adaptive distribution distance-based feature selection method for video traffic identification
- SVIM: a Skeleton-based View-invariant Method for Online Gesture Recognition
- A Unified Information Diffusion Prediction Model based on Multi-task Learning
- Learning Knowledge Representation with Entity Concept Information
- Domain Adaptive Pre-trained Model for Mushroom Image Classification
- Training Noise Robust Deep Neural Networks with Self-supervised Learning
- Path integration enhanced graph attention network
- Graph Contrastive Learning with Hybrid Noise Augmentation for Recommendation
- ^
- ^^ TED-CS: Textual Enhanced Sensitive Video Detection with Common Sense Knowledge
- ^^ Transformer Based Driving Behavior Safety Prediction For New Energy Vehicles
- Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting
- A Bottom-Up Sampling Strategy for Reconstructing Geospatial Data from Ultra Sparse Inputs
- Recommendation II
- Feature Representation Enhancing by Context Sensitive Information in CTR Prediction
- ProtoMix: Learnable Data Augmentation on Few-shot Features with Vector Quantization in CTR Prediction
- When Alignment Makes a Difference: A Content-Based Variational Model for Cold-Start CTR Prediction
- Dual-Ganularity Contrastive Learning for Session-based Recommendation
- Efficient Graph Collaborative Filtering with Multi-layer Output-enhanced Contrastive Learning
- Influence Maximization with Tag Revisited: Exploiting the Bi-Submodularity of the Tag-Based Influence Function
- Multi-Interest Aware Graph Convolution Network for Social Recommendation
- ^
- ^^ User-Oriented Interest Representation on Knowledge Graph for Long-Tail Recommendation
- Multi-Self-Supervised Light Graph Convolution Network for Social Recommendation
- A Poisoning Attack Based on Variant Generative Adversarial Networks in Recommender Systems
- Label Correlation guided Feature Selection for Multi-label Learning
- Iterative Encode-and-Decode Graph Neural Network
- Community Detection in Temporal Biological Metabolic Networks based on Semi-NMF Method with Node Similarity Fusion
- UKGAT: Uncertain Knowledge Graph Embedding Enriched KGAT for Recommendation
- Knowledge Graph Link Prediction Model Based on Attention Graph Convolutional Network
- Knowledge Graph Embedding with Relation Rotation and Entity Adjustment by Quaternions
- Towards time-variant-aware Link Prediction in Dynamic Graph through Self-supervised Learning
- Adaptive Heterogeneous graph Contrastive clustering with Multi-Similarity
- ^
- Data Mining
- Heterogeneous line graph neural network for link prediction
- Improving Open-Domain Answer Sentence Selection by Distributed Clients with Privacy Preservation
- An Early Stage Identification of Cryptomining Behavior with DNS Requests
- NFAQP: Normalizing Flow based Approximate Query Processing
- Efficient Blockchain Data Trusty Provenance Based on the W3C PROV Model
- Cardinality Estimation of Subgraph Search Queries with Direction Learner
- Approximate Continuous k Representative Skyline Queries over Memory Limitation-based Streaming Data
- AAP: Defending Against Website Fingerprinting through Burst Obfuscation
- ReviewLocator: Enhance User Review-based Bug Localization with Bug Reports
- Improving Adversarial Robustness Via Channel And Depth Compatibility
- Boosting Adversarial Attacks with Improved Sign Method
- BRQG : A BART-based Retouching Framework for Multi-hop Question Generation
- ^
- Deep Learning
- TeaE: an Efficient Method for Improving the Precision of Teaching Evaluation
- Graph Fusion Multimodal Named Entity Recognition Based on Auxiliary Relation Enhancement
- Sentence-level Event Detection without Triggers via Prompt Learning and Machine Reading Comprehension
- Multi-grained Logical Graph Network for Reasoning-based Machine Reading Comprehension
- Adaptive Prototype Learning with Common and Discriminative Features for Few-shot Relation Extraction
- Fine-grained Knowledge Enhancement for Empathetic Dialogue Generation
- Implicit Sentiment Extraction using Structure Generation with Sentiment Instructor Prompt Template
- SE-Prompt: Exploring Semantic Enhancement with Prompt Tuning for Relation Extraction
- Self-supervised Multi-view Clustering Framework with Graph Filtering and Contrast Fusion
- Semantic Selection and Multi-view Alignment for Image-Text Retrieval
- Voice Conversion with Denoising Diffusion Probabilistic GAN Models
- ^
- Knowledge Graph
- Improving Distance Based Knowledge Graph Embedding via Contrastive Learning
- Knowledge Graph Completion with Information Adaptation and Refinement
- Duet Representation Learning with Entity Multi-Attribute Information in Knowledge Graphs
- TKGAT: Temporal Knowledge Graph Representation Learning Using Attention Network
- Separate-and-Aggregate: A Transformer-based Patch Refinement Model for Knowledge Graph Completion
- Two Birds With One Stone: An Link Prediction Model for Knowledge Hypergraph Based on Fully-Connected Tensor Decomposition
- HEM: an improved parametric link prediction algorithm based on hybrid network evolution mechanism
- Joint embedding of local structures and evolutionary patterns for temporal link prediction
- Multimedia
- DQN-based Stitching Algorithm for Unmanned Aerial Vehicle Images
- HM-QCNN: Hybrid Multi-branches Quantum-Classical Neural Network for image classification
- ^
- Pharmaceutical Data Analysis
- Drug-target interaction prediction based on drug subgraph fingerprint extraction strategy and subgraph attention mechanism
- Soft Prompt Transfer for Zero-Shot and Few-Shot Learning in EHR Understanding
- Graph Convolution Synthetic Transformer for Chronic Kidney Disease Onset Prediction
- MTFL: Multi-task feature learning with joint correlation structure learning for Alzheimer's disease cognitive performance prediction
- Multi-Level Transformer for Cancer Outcome Prediction in Large-Scale Claims Data
- Individual Functional Network Abnormalities Mapping via Graph Representation-based Neural Architecture Search
- A novel application of a mutual information measure for analysing temporal changes in healthcare network graphs
- Drugs Resistance Analysis from Scarce Health Records via Multi-task Graph Representation
- Text Classification
- ParaNet:Parallel Networks with Pre-trained Models for Text Classification
- ^
- Time Series
- An Adaptive Data-Driven Imputation Model for Incomplete Event Series
- From Time Series to Multi-Modality: Classifying Multivariate Time Series via Both 1D and 2D Representations
- Exploring the Effectiveness of Positional Embedding on Transformer-based Architectures for Multivariate Time Series Classification
- Modeling of Repeated Measures for Time-to-Event Prediction
- A Method for Identifying the Timeliness of Manufacturing Data Based on Weighted Timeliness Graph
- STAD: Multivariate Time Series Anomaly Detection Based on Spatio-temporal Relationship
- Recommendation I
- Refined Node Type Graph Convolutional Network for Recommendation
- Multi-level Noise Filtering and Preference Propagation Enhanced Knowledge Graph Recommendation
- Enhancing Knowledge-aware Recommendation with Contrastive Learning
- Knowledge-Rich Influence Propagation Recommendation Algorithm Based on Graph Attention Networks
- ^