Big Data: 10th CCF Conference, BigData 2022, Chengdu, China, November 18–20, 2022, Proceedings

Preface
Organization
Contents
Searching Similar Trajectories Based on Shape
1 Introduction
2 Preliminaries
3 Align-Based Trajectory Match
3.1 Trajectory Preprocessing
3.2 Align-Based Trajectory Match
3.3 Distance Calculation
4 Symbolic Trajectory Match
4.1 Symbolic Representation for Trajectory
4.2 Symbol Distance Calculation
4.3 Multiple Balanced Symbol Trajectory
4.4 Query Processing
5 Experimental Study
5.1 Experiment Setup
5.2 Experiment Results
6 Related Work
6.1 Trajectory Similarity Measurement
6.2 Symbolic Representation
7 Conclusion
References
Unsupervised Discovery of Disentangled Interpretable Directions for Layer-Wise GAN
1 Introduction
2 Related Works
2.1 Generative Adversarial Networks
2.2 Semantic Discovery for GANs
2.3 Disentanglement Learning with Orthogonal Regularization
3 Methods
3.1 Overview
3.2 Layer-Wise Semantic Discovering Model
3.3 Orthogonal Jacobian Regularization
4 Experiments
4.1 Experiment Settings
4.2 Non-trivial Visual Effects
4.3 Comparison
4.4 Ablation Studies
5 Conclusion
References
ASNN: Accelerated Searching for Natural Neighbors
1 Introduction
2 Related Work
2.1 K-Nearest Neighbor
2.2 Reverse k-Nearest Neighbor
2.3 Natural Neighbor
3 Proposed Method
3.1 Motivation and Theory
3.2 Accelerated Search of Natural Neighbors Algorithm
3.3 Complexity Analysis
4 Experimental Evaluation
4.1 Results on Synthetic Datasets
4.2 Results on Real-World Datasets
5 Conclusions
References
A Recommendation Algorithm for Auto Parts Based on Knowledge Graph and Convolutional Neural Network
1 Introduction
2 Related Work
3 Proposed Method
3.1 Knowledge Graph
3.2 KGCNUI Layer
3.3 Learning Algorithm
4 Experiment
4.1 Datasets
4.2 Baselines
4.3 Experiments Setup
4.4 Results
5 Conclusion
References
Identifying Urban Functional Regions by LDA Topic Model with POI Data
1 Introduction
2 Related Works
3 Region Functions Based on LDA Topic Model
3.1 Problem Statement
3.2 Embedded Representation of Blocks
3.3 Functional Region Identification
4 Experiment
4.1 Experimental Settings
4.2 Experimental Results and Analysis
5 Conclusion
References
A Data-to-Text Generation Model with Deduplicated Content Planning
1 Introduction
2 Related Work
3 Proposed Model
3.1 Word Embedding
3.2 Content Planning
3.3 Text Generation
3.4 Training and Inference
4 Experiment
4.1 Dataset
4.2 Training Configuration
5 Conclusion
References
Clustering-Enhanced Knowledge Graph Embedding
1 Introduction
2 Related Work
3 Problem Description
4 Methodology
4.1 KGE Models with Shared Cluster Embeddings
4.2 Loss Function
5 Experiment
5.1 Data Sets
5.2 Baseline
5.3 Link Prediction
5.4 Triplet Classification
6 Conclusion
Appendix A Model parameters
References
FCI: Feature Cross and User Interest Network
1 Introduction
2 Related Work
2.1 Feature Cross Mining
2.2 User Behavior Sequence Mining
3 Our Approach
3.1 Problem Statement
3.2 Input and Output
3.3 Model Structure
3.4 Output Layer
3.5 Complexity Analysis
4 Experiment
4.1 Data Set
4.2 Evaluation Metrics
4.3 Model Training Details
4.4 Hyperparameter Settings
4.5 Experimental Comparison
4.6 Ablation Experiment
5 Conclusion
References
Author Index