IEEE Transactions on Big Data

Papers
(The median citation count of IEEE Transactions on Big Data is 2. The table below lists those papers that are above that threshold based on CrossRef citation counts [max. 250 papers]. The publications cover those that have been published in the past four years, i.e., from 2020-11-01 to 2024-11-01.)
ArticleCitations
Billion-Scale Similarity Search with GPUs1021
Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network254
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems125
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources117
PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing83
Federated Forest78
NPP: A New Privacy-Aware Public Auditing Scheme for Cloud Data Sharing with Group Users74
COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations73
Data-Driven Web APIs Recommendation for Building Web Applications73
Identification of Encrypted Traffic Through Attention Mechanism Based Long Short Term Memory73
Time Series Anomaly Detection for Trustworthy Services in Cloud Computing Systems72
An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak69
Dynamics of Public Opinions in an Online and Offline Social Network58
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature55
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices51
Urban Anomaly Analytics: Description, Detection, and Prediction46
Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements45
Hyperbolic Graph Attention Network43
A Multi-Order Distributed HOSVD with Its Incremental Computing for Big Services in Cyber-Physical-Social Systems43
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors42
Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices41
B4SDC: A Blockchain System for Security Data Collection in MANETs40
Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-1937
An Incremental Tensor-Train Decomposition for Cyber-Physical-Social Big Data36
Multi-View Clustering With Self-Representation and Structural Constraint35
Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud35
Privacy-Preserving Aggregation in Federated Learning: A Survey35
A Comprehensive Trustworthy Data Collection Approach in Sensor-Cloud Systems31
Predicting and Understanding Student Learning Performance Using Multi-Source Sparse Attention Convolutional Neural Networks30
P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing29
LSTM Based Phishing Detection for Big Email Data29
Hierarchical Density-Based Clustering Using MapReduce28
DAAC: Digital Asset Access Control in a Unified Blockchain Based E-Health System26
Opportunistic Discovery of Personal Places Using Multi-Source Sensor Data26
Identity-Based Dynamic Data Auditing for Big Data Storage26
Towards Matching User Mobility Traces in Large-Scale Datasets26
Country Image in COVID-19 Pandemic: A Case Study of China26
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data26
MRMondrian: Scalable Multidimensional Anonymisation for Big Data Privacy Preservation26
Collaborative Filtering With Network Representation Learning for Citation Recommendation25
Boosting Nonnegative Matrix Factorization Based Community Detection With Graph Attention Auto-Encoder25
IEMask R-CNN: Information-Enhanced Mask R-CNN24
A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering24
Active and Semi-Supervised Graph Neural Networks for Graph Classification24
CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries23
Trust Based Incentive Scheme to Allocate Big Data Tasks with Mobile Social Cloud23
A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets23
semi-Traj2Graph: Identifying Fine-grained Driving Style with GPS Trajectory Data via Multi-task Learning23
Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain23
Measuring Human and Economic Activity From Satellite Imagery to Support City-Scale Decision-Making During COVID-19 Pandemic23
Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning23
A Domain-Specific Bayesian Deep-Learning Approach for Air Pollution Forecast22
Forecasting People’s Needs in Hurricane Events from Social Network21
A Mathematical Programming Formulation for Optimal Load Shifting of Electricity Demand for the Smart Grid21
Revocable Identity-Based Access Control for Big Data with Verifiable Outsourced Computing21
STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation20
Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances20
Representation and Reinforcement Learning for Task Scheduling in Edge Computing20
Cost-Efficient Heterogeneous Worker Recruitment under Coverage Requirement in Spatial Crowdsourcing19
Bi-Directional Feature Fixation-Based Particle Swarm Optimization for Large-Scale Feature Selection19
Fusing Location Data for Depression Prediction19
K-Nearest Neighbor Search by Random Projection Forests19
LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection18
A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location18
A Machine Learning Based Framework for Verification and Validation of Massive Scale Image Data18
WukaStore: Scalable, Configurable and Reliable Data Storage on Hybrid Volunteered Cloud and Desktop Systems17
A Privacy and Efficiency-Oriented Data Sharing Mechanism for IoTs17
Multi-Label Graph Convolutional Network Representation Learning17
Trustworthiness Evaluation-Based Routing Protocol for Incompletely Predictable Vehicular Ad Hoc Networks17
Predicting Fine-Grained Air Quality Based on Deep Neural Networks17
Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network17
Efficient Trustworthiness Management for Malicious User Detection in Big Data Collection15
Toward Architectural and Protocol-Level Foundation for End-to-End Trustworthiness in Cloud/Fog Computing15
An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction15
A Survey on Integrity Auditing for Data Storage in the Cloud: From Single Copy to Multiple Replicas15
Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems15
MAFI: GNN-Based Multiple Aggregators and Feature Interactions Network for Fraud Detection Over Heterogeneous Graph15
IRDA: Incremental Reinforcement Learning for Dynamic Resource Allocation15
Integrating Data and Model Space in Ensemble Learning by Visual Analytics15
TUSQ: Targeted High-Utility Sequence Querying15
Multiple Distance-Based Coding: Toward Scalable Feature Matching for Large-Scale Web Image Search15
Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks14
A Spatiotemporal Data Summarization Approach for Real-Time Operation of Smart Grid14
ScaleJoin: A Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join14
Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams14
Supervised Discrete Multiple-Length Hashing for Image Retrieval14
Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective14
A Survey on Role-Oriented Network Embedding13
Semantic-Based and Entity-Resolution Fusion to Enhance Quality of Big RDF Data13
Citywide Traffic Volume Inference with Surveillance Camera Records13
How to Protect Ourselves From Overlapping Community Detection in Social Networks13
A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data13
Understanding the Users and Videos by Mining a Novel Danmu Dataset13
Exploring Multi-Dimension User-Item Interactions With Attentional Knowledge Graph Neural Networks for Recommendation13
Survey and Analysis of Current End-User Data Analytics Tool Support13
A Large-Scale Study of Android Malware Development Phenomenon on Public Malware Submission and Scanning Platform13
A Memory Network Information Retrieval Model for Identification of News Misinformation13
An overview of healthcare data analytics with applications to the COVID-19 pandemic13
BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition13
A Survey on the Methods and Results of Data-Driven Koopman Analysis in the Visualization of Dynamical Systems12
A Survey of Data Pricing for Data Marketplaces12
Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation12
Event Detection Through Differential Pattern Mining in Cyber-Physical Systems12
Missing Air Pollution Data Recovery Based on Long-Short Term Context Encoder11
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit11
Hybrid Riemannian Graph-Embedding Metric Learning for Image Set Classification11
Mining Stable Communities in Temporal Networks by Density-Based Clustering11
Deadline-Aware Cost Optimization for Spark11
Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis11
Sparse User Check-in Venue Prediction By Exploring Latent Decision Contexts From Location-Based Social Networks10
Towards Efficient Local Causal Structure Learning10
Deep Tensor CCA for Multi-view Learning10
DSTAGCN: Dynamic Spatial-Temporal Adjacent Graph Convolutional Network for Traffic Forecasting10
Privacy and Efficiency of Communications in Federated Split Learning10
AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data10
GGNN: Graph-Based GPU Nearest Neighbor Search10
cGAIL: Conditional Generative Adversarial Imitation Learning—An Application in Taxi Drivers’ Strategy Learning10
Approximate Clustering Ensemble Method for Big Data9
Long-term Origin-Destination Demand Prediction with Graph Deep Learning9
Data Privacy Threat Modelling for Autonomous Systems: A Survey From the GDPR's Perspective9
Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling9
Quality Inference in Federated Learning With Secure Aggregation9
AF-GCN: Attribute-Fusing Graph Convolution Network for Recommendation9
SGAE: Stacked Graph Autoencoder for Deep Clustering9
Efficient Provenance Management via Clustering and Hybrid Storage in Big Data Environments9
A Deep Learning-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets9
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach9
Decentralized Federated Learning: A Survey on Security and Privacy9
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification9
A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data9
Neurally-Guided Semantic Navigation in Knowledge Graph8
Momentum-Incorporated Symmetric Non-Negative Latent Factor Models8
A Survey of Blockchain-Based Schemes for Data Sharing and Exchange8
GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing8
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies8
To Your Surprise: Identifying Serendipitous Collaborators8
Fast and Positive Definite Estimation of Large Covariance Matrix for High-Dimensional Data Analysis7
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation7
RoD: Evaluating the Risk of Data Disclosure Using Noise Estimation for Differential Privacy7
Mining Diversified Top-r Lasting Cohesive Subgraphs on Temporal Networks7
BioCyBig: A Cyberphysical System for Integrative Microfluidics-Driven Analysis of Genomic Association Studies7
Efficient and Secure Data Sharing Scheme on Interoperable Blockchain Database7
Deep Incremental Hashing for Semantic Image Retrieval With Concept Drift7
A Meta Path Based Method for Entity Set Expansion in Knowledge Graph7
Frequent Subgraph Mining Algorithms in Static and Temporal Graph-Transaction Settings: A Survey7
A Scalable Algorithm for Large-Scale Unsupervised Multi-View Partial Least Squares7
Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data7
On Security of an Identity-Based Dynamic Data Auditing Protocol for Big Data Storage7
A Two-phase Method to Balance the Result of Distributed Graph Repartitioning7
Linear Time Community Detection by a Novel Modularity Gain Acceleration in Label Propagation6
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training6
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams6
Task Allocation Under Geo-Indistinguishability via Group-Based Noise Addition6
Effective and Efficient Content Redundancy Detection of Web Videos6
Multi-Relational Data Characterization by Tensors: Tensor Inversion6
Dynamic Entity-Based Named Entity Recognition Under Unconstrained Tagging Schemes6
Relaxed Locality Preserving Supervised Discrete Hashing6
BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories6
Heterogeneous Daily Living Activity Learning Through Domain Invariant Feature Subspace6
MiSTR: A Multiview Structural-Temporal Learning Framework for Rumor Detection6
Metagraph-Based Life Pattern Clustering With Big Human Mobility Data6
Hierarchical Recovery of Missing Air Pollution Data via Improved Long-Short Term Context Encoder Network6
Regularized Spectral Clustering With Entropy Perturbation6
Rethinking Embedded Unsupervised Feature Selection: A Simple Joint Approach6
What and Why? Towards Duo Explainable Fauxtography Detection Under Constrained Supervision6
Cloud Computing Assisted Mobile Healthcare Systems Using Distributed Data Analytic Model6
An Overall Evaluation on Benefits of Competitive Influence Diffusion6
Self-Attention Graph Convolution Residual Network for Traffic Data Completion6
Fast Communication-Efficient Spectral Clustering over Distributed Data6
Localization of Inpainting Forgery With Feature Enhancement Network6
On Physical-Social-Aware Localness Inference by Exploring Big Data from Location-Based Services6
FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning6
Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis6
A New Methodology for Storing Consistent Fuzzy Geospatial Data in Big Data Environment6
Mining Hierarchical Information of CNNs for Scene Classification of VHR Remote Sensing Images6
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification6
Distributed Sparse Class-Imbalance Learning and Its Applications5
Improving Chinese Word Representation Using Four Corners Features5
Temporal Causal Modelling on Large Volume Enterprise Data5
BitAnalysis: A Visualization System for Bitcoin Wallet Investigation5
Efficient Learned Spatial Index With Interpolation Function Based Learned Model5
Automated Labeling for Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning on Big Data5
Private Empirical Risk Minimization With Analytic Gaussian Mechanism for Healthcare System5
State-Aware Load Shedding From Input Event Streams in Complex Event Processing5
Visualization of Big Spatial Data Using Coresets for Kernel Density Estimates5
Data-Driven Digital Advertising with Uncertain Demand Model in Metro Networks5
Causal Feature Selection With Efficient Spouses Discovery5
Mobile Network Traffic Prediction Based on Seasonal Adjacent Windows Sampling and Conditional Probability Estimation5
Towards Scalable Multi-View Clustering via Joint Learning of Many Bipartite Graphs5
Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning5
Fast Multi-View Outlier Detection via Deep Encoder5
A Novel Hilbert Curve for Cache-Locality Preserving Loops5
Parallel Overlapping Community Detection Algorithm on GPU5
Noiseless Privacy: Definition, Guarantees, and Applications5
Stark: Fast and Scalable Strassen’s Matrix Multiplication Using Apache Spark5
A Black-Box Adversarial Attack Method via Nesterov Accelerated Gradient and Rewiring Towards Attacking Graph Neural Networks5
Transfer to Rank for Top-N Recommendation4
Metro OD Matrix Prediction Based on Multi-View Passenger Flow Evolution Trend Modeling4
Domain Adaptive Network Embedding4
A Cost-Driven Top-K Queries Optimization Approach on Federated RDF Systems4
ATLAS: GAN-Based Differentially Private Multi-Party Data Sharing4
Identification of Communities With Multi-Semantics via Bayesian Generative Model4
FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization4
SOREL: Efficient and Secure ORE-based Range Query over Outsourced Data4
Social Media Driven Big Data Analysis for Disaster Situation Awareness: A Tutorial4
Research on Escaping the Big-Data Traps in O2O Service Recommendation Strategy4
Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition4
Efficient Strong Privacy-Preserving Conjunctive Keyword Search Over Encrypted Cloud Data4
Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning4
A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism4
Towards Long-Tailed Recognition for Graph Classification via Collaborative Experts4
Visual Analysis of Multidimensional Big Data: A Scalable Lightweight Bundling Method for Parallel Coordinates4
EvoSets: Tracking the Sensitivity of Dimensionality Reduction Results Across Subspaces4
LongArms: Fraud Prediction in Online Lending Services Using Sparse Knowledge Graph4
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine4
Enabling Homogeneous GNNs to Handle Heterogeneous Graphs via Relation Embedding4
Dense or Sparse : Elastic SPMM Implementation for Optimal Big-Data Processing3
Towards the Inference of Travel Purpose with Heterogeneous Urban Data3
Fast Compressive Spectral Clustering for Large-Scale Sparse Graph3
Cost-Efficient Scheduling of Streaming Applications in Apache Flink on Cloud3
Understanding and Conquering the Difficulties in Identifying Third-party Librariesfrom Millions of Android Apps3
Event Extraction by Associating Event Types and Argument Roles3
Incorporating Heterogeneous User Behaviors and Social Influences for Predictive Analysis3
Deep Convolutional Neural Network Based Medical Concept Normalization3
Physical Black-Box Adversarial Attacks Through Transformations3
Cross-Region Courier Displacement for On-Demand Delivery With Multi-Agent Reinforcement Learning3
AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association3
Product Supply Optimization for Crowdfunding Campaigns3
RCIVMM: A Route Choice-Based Interactive Voting Map Matching Approach for Complex Urban Road Networks3
Fuzzy Deep Neural Learning Based on Goodman and Kruskal's Gamma for Search Engine Optimization3
Shadow: Exploiting the Power of Choice for Efficient Shuffling in MapReduce3
Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting3
Weak Supervision Learning for Object Co-Segmentation3
Community Detection Based on Multiobjective Particle Swarm Optimization and Graph Attention Variational Autoencoder3
A Composable Generative Framework Based on Prompt Learning for Various Information Extraction Tasks3
Proxy-Based Graph Convolutional Hashing for Cross-Modal Retrieval3
Application of Mathematical Optimization in Data Visualization and Visual Analytics: A Survey3
Incorporating Prior Knowledge in Local Differentially Private Data Collection for Frequency Estimation3
A Structured Approach Towards Big Data Identification3
Modeling and Visualizing Student Flow3
Who are the Best Adopters? User Selection Model for Free Trial Item Promotion3
Accelerating ML/DL Applications with Hierarchical Caching on Deduplication Storage Clusters3
I/O Workload Management for All-Flash Datacenter Storage Systems Based on Total Cost of Ownership3
Robust Low Transformed Multi-Rank Tensor Completion With Deep Prior Regularization for Multi-Dimensional Image Recovery3
SIESTA: A Scalable Infrastructure of Sequential Pattern Analysis3
Anomaly Detection in Catalog Streams3
PrivTDSI: A Local Differentially Private Approach for Truth Discovery via Sampling and Inference3
Hybrid Optimization Algorithm for Detection of Security Attacks in IoT-Enabled Cyber-Physical Systems2
Meta-Learning Based Classification for Moving Object Trajectories in Mobile IoT2
Grasping Inter-Attribute and Temporal Variability in Multivariate Time Series2
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