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IEEE Transactions on Knowledge and Data Engineering （TKDE） - 论文列表

点击这里查看 IEEE Transactions on Knowledge and Data Engineering 的JCR分区、影响因子等信息
卷期号： 34
发布时间： Nov.
卷期年份： 2022
卷期官网： https://ieeexplore.ieee.org/xpl/tocresult.jsp?isnumber=9913316&issue_denial=true&userType=&issue_login=true
本期论文列表
A General Framework for Feature Selection Under Orthogonal Regression With Global Redundancy Minimization

A High Performance Concurrency Protocol for Smart Contracts of Permissioned Blockchain

A New Belief-Based Incomplete Pattern Unsupervised Classification Method

A Novel Probabilistic Label Enhancement Algorithm for Multi-Label Distribution Learning

A Semantic Network Encoder for Associated Fact Prediction

A Unified Collaborative Representation Learning for Neural-Network Based Recommender Systems

Achieving Privacy-Preserving and Lightweight Truth Discovery in Mobile Crowdsensing

An Integrated Multi-Task Model for Fake News Detection

An Online Offline Framework for Anomaly Scoring and Detecting New Traffic in Network Streams

An Unsupervised Bayesian Neural Network for Truth Discovery in Social Networks

Attentive Representation Learning With Adversarial Training for Short Text Clustering

Auditing Network Embedding: An Edge Influence Based Approach

Context-Aware Service Recommendation Based on Knowledge Graph Embedding

CPiX: Real-Time Analytics Over Out-of-Order Data Streams by Incremental Sliding-Window Aggregation

Deep Bayesian Active Learning for Learning to Rank: A Case Study in Answer Selection

Density-Based Top-K Spatial Textual Clusters Retrieval

Differentially Private Triangle Counting in Large Graphs

Discovering Structural Errors From Business Process Event Logs

Efficient and Effective Multi-Modal Queries Through Heterogeneous Network Embedding

Efficient Sink-Reachability Analysis via Graph Reduction

Erasable Virtual HyperLogLog for Approximating Cumulative Distribution over Data Streams

Estimating the Total Volume of Queries to a Search Engine

Fast Error-Bounded Distance Distribution Computation

GPSC: A Grid-Based Privacy-Reserving Framework for Online Spatial Crowdsourcing

Imitation Learning of Neural Spatio-Temporal Point Processes

Intention-Aware Sequential Recommendation With Structured Intent Transition

Learning Dynamics and Heterogeneity of Spatial-Temporal Graph Data for Traffic Forecasting

Learning to Solve Task-Optimized Group Search for Social Internet of Things

Modeling Dynamic User Preference via Dictionary Learning for Sequential Recommendation

MOLER: Incorporate Molecule-Level Reward to Enhance Deep Generative Model for Molecule Optimization

Open Named Entity Modeling From Embedding Distribution

Point-of-Interest Recommendation With Global and Local Context

Prediction of Treatment Medicines With Dual Adaptive Sequential Networks

Pre-Training Time-Aware Location Embeddings from Spatial-Temporal Trajectories

Transfer Learning for Dynamic Feature Extraction Using Variational Bayesian Inference

Transferable Feature Selection for Unsupervised Domain Adaptation

Comparing Alternative Route Planning Techniques: A Comparative User Study on Melbourne, Dhaka and Copenhagen Road Networks