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Advanced Data Mining and Applications

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Cover of 'Advanced Data Mining and Applications'

Table of Contents

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    Book Overview
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    Chapter 1 An Adaptive Data-Driven Imputation Model for Incomplete Event Series
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    Chapter 2 From Time Series to Multi-modality: Classifying Multivariate Time Series via Both 1D and 2D Representations
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    Chapter 3 Exploring the Effectiveness of Positional Embedding on Transformer-Based Architectures for Multivariate Time Series Classification
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    Chapter 4 Modeling of Repeated Measures for Time-to-event Prediction
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    Chapter 5 A Method for Identifying the Timeliness of Manufacturing Data Based on Weighted Timeliness Graph
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    Chapter 6 STAD: Multivariate Time Series Anomaly Detection Based on Spatio-Temporal Relationship
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    Chapter 7 Refined Node Type Graph Convolutional Network for Recommendation
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    Chapter 8 Multi-level Noise Filtering and Preference Propagation Enhanced Knowledge Graph Recommendation
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    Chapter 9 Enhancing Knowledge-Aware Recommendation with Contrastive Learning
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    Chapter 10 Knowledge-Rich Influence Propagation Recommendation Algorithm Based on Graph Attention Networks
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    Chapter 11 A Novel Variational Autoencoder with Multi-position Latent Self-attention and Actor-Critic for Recommendation
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    Chapter 12 Fair Re-Ranking Recommendation Based on Debiased Multi-graph Representations
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    Chapter 13 FastNER: Speeding up Inferences for Named Entity Recognition Tasks
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    Chapter 14 CPMFA: A Character Pair-Based Method for Chinese Nested Named Entity Recognition
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    Chapter 15 STMC-GCN: A Span Tagging Multi-channel Graph Convolutional Network for Aspect Sentiment Triplet Extraction
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    Chapter 16 Exploring the Design Space of Unsupervised Blocking with Pre-trained Language Models in Entity Resolution
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    Chapter 17 Joint Modeling of Local and Global Semantics for Contrastive Entity Disambiguation
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    Chapter 18 KFEA: Fine-Grained Review Analysis Using BERT with Attention: A Categorical and Rating-Based Approach
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    Chapter 19 Discovery of Emotion Implicit Causes in Products Based on Commonsense Reasoning
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    Chapter 20 Multi-modal Multi-emotion Emotional Support Conversation
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    Chapter 21 Exploiting Pseudo Future Contexts for Emotion Recognition in Conversations
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    Chapter 22 Generating Enlightened Suggestions Based on Mental State Evolution for Emotional Support Conversation
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    Chapter 23 Deep One-Class Fine-Tuning for Imbalanced Short Text Classification in Transfer Learning
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    Chapter 24 EmoKnow: Emotion- and Knowledge-Oriented Model for COVID-19 Fake News Detection
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    Chapter 25 Popular Songs: The Sentiment Surrounding the Conversation
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    Chapter 26 Market Sentiment Analysis Based on Social Media and Trading Volume for Asset Price Movement Prediction
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    Chapter 27 Efficient Mining of High Utility Co-location Patterns Based on a Query Strategy
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    Chapter 28 Point-Level Label-Free Segmentation Framework for 3D Point Cloud Semantic Mining
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    Chapter 29 CD-BNN: Causal Discovery with Bayesian Neural Network
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    Chapter 30 A Preference-Based Indicator Selection Hyper-Heuristic for Optimization Problems
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    Chapter 31 An Elastic Scalable Grouping for Stateful Operators in Stream Computing Systems
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    Chapter 32 Incremental Natural Gradient Boosting for Probabilistic Regression
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    Chapter 33 Discovering Skyline Periodic Itemset Patterns in Transaction Sequences
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    Chapter 34 Double-Optimized CS-BP Anomaly Prediction for Control Operation Data
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    Chapter 35 Bridging the Interpretability Gap in Coupled Neural Dynamical Models
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    Chapter 36 Multidimensional Adaptative k NN over Tracking Outliers (Makoto)
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    Chapter 37 MANet: An End-To-End Multiple Attention Network for Extracting Roads Around EHV Transmission Lines from High-Resolution Remote Sensing Images
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    Chapter 38 Deep Reinforcement Learning for Solving the Trip Planning Query
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    Chapter 39 MDCN: Multi-scale Dilated Convolutional Enhanced Residual Network for Traffic Sign Detection
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    Chapter 40 Identifying Critical Congested Roads Based on Traffic Flow-Aware Road Network Embedding
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    Chapter 41 A Cross-Region-based Framework for Supporting Car-Sharing
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    Chapter 42 Attention-Based Spatial-Temporal Graph Convolutional Recurrent Networks for Traffic Forecasting
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    Chapter 43 Transformer Based Driving Behavior Safety Prediction for New Energy Vehicles
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    Chapter 44 Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting
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    Chapter 45 A Bottom-Up Sampling Strategy for Reconstructing Geospatial Data from Ultra Sparse Inputs
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    Chapter 46 Feature Representation Enhancing by Context Sensitive Information in CTR Prediction
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    Chapter 47 ProtoMix: Learnable Data Augmentation on Few-Shot Features with Vector Quantization in CTR Prediction
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    Chapter 48 When Alignment Makes a Difference: A Content-Based Variational Model for Cold-Start CTR Prediction
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    Chapter 49 Dual-Granularity Contrastive Learning for Session-Based Recommendation
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    Chapter 50 Efficient Graph Collaborative Filtering with Multi-layer Output-Enhanced Contrastive Learning
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    Chapter 51 Influence Maximization with Tag Revisited: Exploiting the Bi-submodularity of the Tag-Based Influence Function
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    Chapter 52 Multi-Interest Aware Graph Convolution Network for Social Recommendation
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    Chapter 53 Enhancing Multimedia Recommendation Through Item-Item Semantic Denoising and Global Preference Awareness
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    Chapter 54 Resident-Based Store Recommendation Model for Community Commercial Planning
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Title
Advanced Data Mining and Applications
Published by
Springer Nature Switzerland, November 2023
DOI 10.1007/978-3-031-46661-8
ISBNs
978-3-03-146660-1, 978-3-03-146661-8
Editors

Yang, Xiaochun, Suhartanto, Heru, Wang, Guoren, Wang, Bin, Jiang, Jing, Li, Bing, Zhu, Huaijie, Cui, Ningning

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