El. knyga: Advanced Data Mining and Applications: 19th International Conference, ADMA 2023, Shenyang, China, August 21-23, 2023, Proceedings, Part I

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.- 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.- 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.- 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.- Enhancing MultimediaRecommendation through Item-Item
Semantic Denoising and Global Preference Awareness.- Resident-based Store
Recommendation Model for Community Commercial Planning.c