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1 |
Spectral Feature Selection in Unsupervised Learning Using Dynamic Hypergraph Learning |
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Truss-based Search for Structural Diversity in Graphs |
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Automatic Biomedical Hypothesis Generation Using T-PAIR Temporal Node-pair Embedding |
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Towards Predicting Active Tweet Stream Participants Two Civil Rights Events: A Case Study |
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Multi-view Remote Sensing Tensor Canonical Correlation Analysis Networks for Scene Recognition |
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Subparagraph Matching with Effective Matching Order and Indexing |
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Stat-DSM: Multiple Testing Correction for Statistically Discriminative Sub-Trajectory Mining |
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Spatio-Temporal Meta Learning for Predicting Urban Traffic |
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SoulMate: Multi-Aspect Temporal-Textual Embedding for Short-Text Author Linking |
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Concept of Semi-Supervision Learning through Concept Space and Concept-Cognitive Learning |
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Pre-training Spatial-Temporal Trajectories from Time-Aware Location Embeddings |
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Using a Bayesian Model for Social Networks to Predict Hot Events in the Early Period |
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Geographical topic models can be mined using PGeoTopic, a distributed solution. |
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Concepts and Algorithms for Periodic Communities Mining in Temporal Networks |
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For the treatment of large-scale incomplete data, parallel fractional hot-deck imputation and variance estimation |
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For a Complex Metro System, Online Spatio-Temporal Crowd Flow Distribution Prediction |
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The Cooperation of Visible and Hidden Views in Multi-View Clustering |
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Lookup of Multiset Membership in Large Datasets |
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sCOs: Similarity Preserving Approach for Semi-Supervised Co-Selection |
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Multi-Query Optimization of Sliding-Window Aggregations Evaluated Incrementally |
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Attribute representation learning for modeling spatial trajectories |
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Utilizing Multi-Objective Evolutionary Algorithm, mining High Quality Patterns |
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SCHAIN-IRAM: A Semi-Supervised Clustering Algorithm for Attributed Heterogeneous Information Networks. |
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RHINE is an acronym for Relation Structure-Aware Heterogeneous Information Network Embedding. |
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Representation Learning for Activity with Multi-level Attention Kinematic Similarity Computation |
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Representation Learning with Crowdsourced Labels from Limited Educational Data |
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RDMN: A Multi-Scale Dataset Clustering Method Using a Relative Density Measure Based on MST Neighborhood |
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Learning Relationship-Preserving Heterogeneous Graph Representations with Mg2vec |
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Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach |
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HinCTI: A Heterogeneous Information Network-Based Cyber Threat Intelligence Modeling and Identification System |
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A Quick Method to Accurately Find Important Items in Data Streams is LTC. |
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Learning Multi-Modal Electronic Health Records for Inter-Modal Correspondence and Phenotypes |
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Traffic Forecasting: Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data |
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Tensor Factorization on a Large Scale via Parallel Sketches |
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Multi-source Visual Domain Adaptation Iterative Refinement |
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Structural Preservation in Low-dimensional Embeddings: Interpretation |
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Index-based Community Search in Large Weighted Graphs with Intimate-Core |
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Improving Triangle Enumeration's I/O Complexity |
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On the WeChat Money-Gifting Network, identifying user relationships |
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Interactive 3D Walks with Heuristics for Multilayer Network Embedding |
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A Unified Framework for Heterogeneous Network Representation Learning with Survey and Benchmark |
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42 |
Hybrid Association Models for Sequential Recommendation, or HAMHAM |
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Spatial-temporal Attention Graph Neural Network for Fraud Detection |
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Global Topology Preserving Dynamic Network Embedding (GloDyNE) |
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Improved memory efficiency with fully dynamic kk-Center clustering |
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A Spatiotemporal Multi-Granularity Perspective on Predicting Urban Sparse Traffic Accidents |
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FastDTW approximates the algorithm and is typically slower than the algorithm it approximates. |
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Distributed Nonnegative Matrix Factorization that is Quick and Secure |
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Utilizing City Semantic Diagram, extract human mobility patterns |
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Investigating Temporal Information for Dynamic Network Embedding |
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Using influential hashtags from social media, event popularity can be predicted |
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Efficient, Secure, Searchable Symmetric Encryption is enabled by ESVSSE. |
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Reuse Exploitation for GPU Subgraph Enumeration |
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Efficient Self-Adaptive Online Data Stream Clustering is known as ESA-Stream. |
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Time Series Classification Using Efficient Shapelet Discovery |
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On Star-Schema Heterogeneous Graphs, Effective Distributed Clustering Algorithms |
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A Meta-path Free Approach to Effective Similarity Search on Heterogeneous Networks |
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Top-k Meta Path Discovery in Heterogeneous Information Networks: Effective and Efficient Methods |
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Decomposition of Distributed Bayesian Matrix for Big Data Clustering and Mining |
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Discretization Using Combination of Heuristics for Extremely High Accuracy and Low Noise |
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Temporal Patterns for Event Sequence Discovery Using the Policy Mixture Model to Cluster |
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Discovering Statistically Significant Communities |
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A Survey of Deep Learning for Spatio-Temporal Data Mining |
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Search Engine Deep Learning for Adverse Event Detection |
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Explanation of Deep Feature-Based Text Clustering |
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Joint Hypergraph Embedding and Sparse Coding for Data Representation |
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Outlier detection using Continuous Trajectory Similarity Search online |
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Service with Context Recommendation based on embedding a knowledge graph |
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Consensus Multi-view Subspace Clustering in One Step |
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Crowdsourcing to Clean Uncertain Data: A General Model with Varying Accuracy Rates |
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KNN Classification Challenges |
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Multi-view Bipartite Graph Clustering |
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Integrating Reviews for Item Recommendation Using an Adaptive Hierarchical Attention-Enhanced Gated Network |
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User Identification Across Online and Offline Data Using a Unified Framework |
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Data Pricing: From Economics to Data Science: A Survey |
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Finding Densest Temporal Subgraphs in Dynamic Graphs Using a Stochastic Method |
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An encoder for associated fact prediction using semantic networks |
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An Innovative Outlier Detection Method for Multivariate Data |
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Fast and Robust Representative Selection from Manifolds Using a Multi-Criteria Approach |
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A General Method For Supporting Multiple-Warped Distances Time Series Matching |
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