IEEE Transactions on Big Data

Papers
(The median citation count of IEEE Transactions on Big Data is 3. 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 2020-04-01 to 2024-04-01.)
ArticleCitations
Billion-Scale Similarity Search with GPUs772
Deep Feature Learning for Medical Image Analysis with Convolutional Autoencoder Neural Network236
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems121
Beyond the Patchwise Classification: Spectral-Spatial Fully Convolutional Networks for Hyperspectral Image Classification101
PPHOPCM: Privacy-Preserving High-Order Possibilistic c-Means Algorithm for Big Data Clustering with Cloud Computing81
A Big Data Enabled Channel Model for 5G Wireless Communication Systems75
Differential Privacy Preserving of Training Model in Wireless Big Data with Edge Computing72
An Epidemiological Neural Network Exploiting Dynamic Graph Structured Data Applied to the COVID-19 Outbreak71
A Survey on Heterogeneous Graph Embedding: Methods, Techniques, Applications and Sources70
Federated Forest69
Deep Model Based Transfer and Multi-Task Learning for Biological Image Analysis69
COVID-19 Chest CT Image Segmentation Network by Multi-Scale Fusion and Enhancement Operations67
NPP: A New Privacy-Aware Public Auditing Scheme for Cloud Data Sharing with Group Users65
Data-Driven Web APIs Recommendation for Building Web Applications65
Time Series Anomaly Detection for Trustworthy Services in Cloud Computing Systems64
Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery61
Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation58
Identification of Encrypted Traffic Through Attention Mechanism Based Long Short Term Memory54
Dynamics of Public Opinions in an Online and Offline Social Network54
COVID-19-CT-CXR: A Freely Accessible and Weakly Labeled Chest X-Ray and CT Image Collection on COVID-19 From Biomedical Literature52
Clustering Analysis in the Wireless Propagation Channel with a Variational Gaussian Mixture Model43
A Multilayered-and-Randomized Latent Factor Model for High-Dimensional and Sparse Matrices42
A Multi-Order Distributed HOSVD with Its Incremental Computing for Big Services in Cyber-Physical-Social Systems42
Sense and Sensibility: Characterizing Social Media Users Regarding the Use of Controversial Terms for COVID-1937
Misinformation During the COVID-19 Outbreak in China: Cultural, Social and Political Entanglements37
Urban Anomaly Analytics: Description, Detection, and Prediction36
Hierarchical Particle Swarm Optimization-incorporated Latent Factor Analysis for Large-Scale Incomplete Matrices36
B4SDC: A Blockchain System for Security Data Collection in MANETs36
WiFind: Driver Fatigue Detection with Fine-Grained Wi-Fi Signal Features34
A Comprehensive Trustworthy Data Collection Approach in Sensor-Cloud Systems33
An Incremental Tensor-Train Decomposition for Cyber-Physical-Social Big Data33
Hyperbolic Graph Attention Network32
Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud32
National Scale Surface Deformation Time Series Generation through Advanced DInSAR Processing of Sentinel-1 Data within a Cloud Computing Environment30
Predicting and Understanding Student Learning Performance Using Multi-Source Sparse Attention Convolutional Neural Networks27
Multi-View Clustering With Self-Representation and Structural Constraint26
SZ3: A Modular Framework for Composing Prediction-Based Error-Bounded Lossy Compressors26
Identity-Based Dynamic Data Auditing for Big Data Storage24
P-MOD: Secure Privilege-Based Multilevel Organizational Data-Sharing in Cloud Computing24
Hierarchical Density-Based Clustering Using MapReduce24
Opportunistic Discovery of Personal Places Using Multi-Source Sensor Data24
Towards Matching User Mobility Traces in Large-Scale Datasets23
semi-Traj2Graph: Identifying Fine-grained Driving Style with GPS Trajectory Data via Multi-task Learning22
Incremental Deep Computation Model for Wireless Big Data Feature Learning22
Big Data Privacy in Biomedical Research22
Extracting Medical Knowledge from Crowdsourced Question Answering Website22
DAAC: Digital Asset Access Control in a Unified Blockchain Based E-Health System22
Mining Deep Semantic Representations for Scene Classification of High-Resolution Remote Sensing Imagery22
LSTM Based Phishing Detection for Big Email Data22
A Mathematical Programming Formulation for Optimal Load Shifting of Electricity Demand for the Smart Grid22
Knowledge Graphs for Social Good: An Entity-Centric Search Engine for the Human Trafficking Domain21
Revocable Identity-Based Access Control for Big Data with Verifiable Outsourced Computing21
MRMondrian: Scalable Multidimensional Anonymisation for Big Data Privacy Preservation21
Country Image in COVID-19 Pandemic: A Case Study of China21
Deep Neural Network-Based Impacts Analysis of Multimodal Factors on Heat Demand Prediction21
Trust Based Incentive Scheme to Allocate Big Data Tasks with Mobile Social Cloud20
Learning a Unified Blind Image Quality Metric via On-Line and Off-Line Big Training Instances20
Collaborative Filtering With Network Representation Learning for Citation Recommendation20
High-Ratio Lossy Compression: Exploring the Autoencoder to Compress Scientific Data20
CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries20
Forecasting People’s Needs in Hurricane Events from Social Network20
Cost-Efficient Heterogeneous Worker Recruitment under Coverage Requirement in Spatial Crowdsourcing19
Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning19
Personalized Federated Learning with Adaptive Batchnorm for Healthcare19
Comparison of Different Machine Learning Approaches to Predict Small for Gestational Age Infants19
Kira: Processing Astronomy Imagery Using Big Data Technology19
Active and Semi-Supervised Graph Neural Networks for Graph Classification19
A Novel Dynamic Fusion Approach Using Information Entropy for Interval-Valued Ordered Datasets18
A Machine Learning Based Framework for Verification and Validation of Massive Scale Image Data18
Boosting Nonnegative Matrix Factorization Based Community Detection With Graph Attention Auto-Encoder17
K-Nearest Neighbor Search by Random Projection Forests17
A New Approach of Exploiting Self-Adjoint Matrix Polynomials of Large Random Matrices for Anomaly Detection and Fault Location17
Multiple Distance-Based Coding: Toward Scalable Feature Matching for Large-Scale Web Image Search17
WukaStore: Scalable, Configurable and Reliable Data Storage on Hybrid Volunteered Cloud and Desktop Systems17
Sleepy: Wireless Channel Data Driven Sleep Monitoring via Commodity WiFi Devices17
Measuring Human and Economic Activity From Satellite Imagery to Support City-Scale Decision-Making During COVID-19 Pandemic17
A Domain-Specific Bayesian Deep-Learning Approach for Air Pollution Forecast16
A Generalized Deep Learning Algorithm Based on NMF for Multi-View Clustering16
Privacy-Preserving Aggregation in Federated Learning: A Survey16
Representation and Reinforcement Learning for Task Scheduling in Edge Computing15
Multi-Label Graph Convolutional Network Representation Learning15
Integrating Data and Model Space in Ensemble Learning by Visual Analytics15
Efficient Trustworthiness Management for Malicious User Detection in Big Data Collection14
Toward Architectural and Protocol-Level Foundation for End-to-End Trustworthiness in Cloud/Fog Computing14
Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems14
An Adaptive Pattern Learning Framework to Personalize Online Seizure Prediction14
STGAN: Spatio-Temporal Generative Adversarial Network for Traffic Data Imputation14
Improving Accuracy and Diversity in Matching of Recommendation With Diversified Preference Network14
Towards Ubiquitous Intelligent Computing: Heterogeneous Distributed Deep Neural Networks13
Trustworthiness Evaluation-Based Routing Protocol for Incompletely Predictable Vehicular Ad Hoc Networks13
A Spatiotemporal Data Summarization Approach for Real-Time Operation of Smart Grid13
Understanding the Users and Videos by Mining a Novel Danmu Dataset13
Fusing Location Data for Depression Prediction13
IEMask R-CNN: Information-Enhanced Mask R-CNN13
IRDA: Incremental Reinforcement Learning for Dynamic Resource Allocation13
Semantic-Based and Entity-Resolution Fusion to Enhance Quality of Big RDF Data13
Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning13
TUSQ: Targeted High-Utility Sequence Querying12
A Privacy and Efficiency-Oriented Data Sharing Mechanism for IoTs11
BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition11
A Large-Scale Study of Android Malware Development Phenomenon on Public Malware Submission and Scanning Platform11
MWBS: An Efficient Many-to-Many Wireless Big Data Delivery Scheme11
An overview of healthcare data analytics with applications to the COVID-19 pandemic11
Event Detection Through Differential Pattern Mining in Cyber-Physical Systems11
ScaleJoin: A Deterministic, Disjoint-Parallel and Skew-Resilient Stream Join11
Exploring Multi-Dimension User-Item Interactions With Attentional Knowledge Graph Neural Networks for Recommendation11
Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams11
Survey and Analysis of Current End-User Data Analytics Tool Support10
Sparse User Check-in Venue Prediction By Exploring Latent Decision Contexts From Location-Based Social Networks10
FEVERLESS: Fast and Secure Vertical Federated Learning based on XGBoost for Decentralized Labels10
Predicting Fine-Grained Air Quality Based on Deep Neural Networks10
Citywide Traffic Volume Inference with Surveillance Camera Records10
Deadline-Aware Cost Optimization for Spark10
Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective10
Benchmarking Blocking Algorithms for Web Entities10
Leveraging Structured Biological Knowledge for Counterfactual Inference: A Case Study of Viral Pathogenesis10
Towards Efficient Local Causal Structure Learning10
Large-Scale Data Pollution with Apache Spark10
cGAIL: Conditional Generative Adversarial Imitation Learning—An Application in Taxi Drivers’ Strategy Learning9
AMIC: An Adaptive Information Theoretic Method to Identify Multi-Scale Temporal Correlations in Big Time Series Data9
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
A Survey on the Methods and Results of Data-Driven Koopman Analysis in the Visualization of Dynamical Systems9
Adaptive Client Clustering for Efficient Federated Learning over Non-IID and Imbalanced Data9
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification9
FedFAIM: A Model Performance-based Fair Incentive Mechanism for Federated Learning9
Missing Air Pollution Data Recovery Based on Long-Short Term Context Encoder9
A Survey on Integrity Auditing for Data Storage in the Cloud: From Single Copy to Multiple Replicas9
Relational Learning Improves Prediction of Mortality in COVID-19 in the Intensive Care Unit9
A Lightweight Matrix Factorization for Recommendation With Local Differential Privacy in Big Data9
Mosaicking Copernicus Sentinel-1 Data at Global Scale8
MAFI: GNN-Based Multiple Aggregators and Feature Interactions Network for Fraud Detection Over Heterogeneous Graph8
Mining Stable Communities in Temporal Networks by Density-Based Clustering8
Augmented Multi-Party Computation Against Gradient Leakage in Federated Learning8
Deep Tensor CCA for Multi-view Learning8
To Your Surprise: Identifying Serendipitous Collaborators8
ASTROIDE: A Unified Astronomical Big Data Processing Engine over Spark8
On Power-Peak-Aware Scheduling for Large-Scale Shared Clusters8
A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data8
Neurally-Guided Semantic Navigation in Knowledge Graph7
Momentum-Incorporated Symmetric Non-Negative Latent Factor Models7
Supervised Discrete Multiple-Length Hashing for Image Retrieval7
CloudFinder: A System for Processing Big Data Workloads on Volunteered Federated Clouds7
How to Protect Ourselves From Overlapping Community Detection in Social Networks7
Incorporating Data Context to Cost-Effectively Automate End-to-End Data Wrangling7
A Survey on Role-Oriented Network Embedding7
On Security of an Identity-Based Dynamic Data Auditing Protocol for Big Data Storage7
A Memory Network Information Retrieval Model for Identification of News Misinformation7
Fast and Positive Definite Estimation of Large Covariance Matrix for High-Dimensional Data Analysis7
DSTAGCN: Dynamic Spatial-Temporal Adjacent Graph Convolutional Network for Traffic Forecasting7
Bi-Directional Feature Fixation-Based Particle Swarm Optimization for Large-Scale Feature Selection7
Reputation-Aware Federated Learning Client Selection based on Stochastic Integer Programming7
BioCyBig: A Cyberphysical System for Integrative Microfluidics-Driven Analysis of Genomic Association Studies7
Fast Communication-Efficient Spectral Clustering over Distributed Data6
GGNN: Graph-Based GPU Nearest Neighbor Search6
Privacy-preserving Federated Adversarial Domain Adaptation over Feature Groups for Interpretability6
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning6
Long-term Origin-Destination Demand Prediction with Graph Deep Learning6
A New Methodology for Storing Consistent Fuzzy Geospatial Data in Big Data Environment6
BusBeat: Early Event Detection with Real-Time Bus GPS Trajectories6
Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation6
Privacy and Efficiency of Communications in Federated Split Learning6
Hybrid Riemannian Graph-Embedding Metric Learning for Image Set Classification6
Optical Compressive Imaging Technologies for Space Big Data6
A Meta Path Based Method for Entity Set Expansion in Knowledge Graph6
Multiple-Perspective Clustering of Passive Wi-Fi Sensing Trajectory Data6
Link Prediction in Knowledge Graphs: A Hierarchy-Constrained Approach6
Mining Diversified Top-r Lasting Cohesive Subgraphs on Temporal Networks6
Practical Vertical Federated Learning with Unsupervised Representation Learning6
Fast Multi-View Outlier Detection via Deep Encoder6
Towards Effective Clustered Federated Learning: A Peer-to-peer Framework with Adaptive Neighbor Matching6
A Two-phase Method to Balance the Result of Distributed Graph Repartitioning6
GGraph: An Efficient Structure-Aware Approach for Iterative Graph Processing6
Stark: Fast and Scalable Strassen’s Matrix Multiplication Using Apache Spark5
Private Empirical Risk Minimization With Analytic Gaussian Mechanism for Healthcare System5
State-Aware Load Shedding From Input Event Streams in Complex Event Processing5
Learning Critically: Selective Self-Distillation in Federated Learning on Non-IID Data5
Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data5
MNL: A Highly-Efficient Model for Large-scale Dynamic Weighted Directed Network Representation5
FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization5
RPT: Toward Transferable Model on Heterogeneous Researcher Data via Pre-Training5
A Drift-Sensitive Distributed LSTM Method for Short Text Stream Classification5
Heterogeneous Daily Living Activity Learning Through Domain Invariant Feature Subspace5
On Physical-Social-Aware Localness Inference by Exploring Big Data from Location-Based Services5
Regularized Spectral Clustering With Entropy Perturbation5
Dynamic Entity-Based Named Entity Recognition Under Unconstrained Tagging Schemes5
An Overall Evaluation on Benefits of Competitive Influence Diffusion5
Automated Labeling for Robotic Autonomous Navigation Through Multi-Sensory Semi-Supervised Learning on Big Data5
A Scalable Algorithm for Large-Scale Unsupervised Multi-View Partial Least Squares5
Quality Inference in Federated Learning With Secure Aggregation5
AF-GCN: Attribute-Fusing Graph Convolution Network for Recommendation5
A Novel Hilbert Curve for Cache-Locality Preserving Loops5
Data-Driven Digital Advertising with Uncertain Demand Model in Metro Networks5
Multiple Testing for Outlier Detection in Space Telemetries5
SBPA: Sybil-Based Backdoor Poisoning Attacks for Distributed Big Data in AIoT-Based Federated Learning System5
Distributed Sparse Class-Imbalance Learning and Its Applications5
Linear Time Community Detection by a Novel Modularity Gain Acceleration in Label Propagation4
Approximate Clustering Ensemble Method for Big Data4
EvoSets: Tracking the Sensitivity of Dimensionality Reduction Results Across Subspaces4
Research on Escaping the Big-Data Traps in O2O Service Recommendation Strategy4
Towards Efficient Synchronous Federated Training: A Survey on System Optimization Strategies4
GraphMP: I/O-Efficient Big Graph Analytics on a Single Commodity Machine4
Frequent Subgraph Mining Algorithms in Static and Temporal Graph-Transaction Settings: A Survey4
Fast Compressive Spectral Clustering for Large-Scale Sparse Graph4
A Joint Community Detection Model: Integrating Directed and Undirected Probabilistic Graphical Models via Factor Graph With Attention Mechanism4
Practical Attribute Reconstruction Attack Against Federated Learning4
MiSTR: A Multiview Structural-Temporal Learning Framework for Rumor Detection4
A Survey of Data Pricing for Data Marketplaces4
Visualization of Big Spatial Data Using Coresets for Kernel Density Estimates4
FedCKE: Cross-Domain Knowledge Graph Embedding in Federated Learning4
Causal Feature Selection With Efficient Spouses Discovery4
Noiseless Privacy: Definition, Guarantees, and Applications4
Cloud Computing Assisted Mobile Healthcare Systems Using Distributed Data Analytic Model4
Mobile Network Traffic Prediction Based on Seasonal Adjacent Windows Sampling and Conditional Probability Estimation4
WTDP-Shapley: Efficient and Effective Incentive Mechanism in Federated Learning for Intelligent Safety Inspection4
Domain Adaptive Network Embedding4
Metagraph-Based Life Pattern Clustering With Big Human Mobility Data4
SGAE: Stacked Graph Autoencoder for Deep Clustering4
Improving Chinese Word Representation Using Four Corners Features4
Effective and Efficient Content Redundancy Detection of Web Videos4
Towards the Inference of Travel Purpose with Heterogeneous Urban Data4
Multi-Relational Data Characterization by Tensors: Tensor Inversion4
RoD: Evaluating the Risk of Data Disclosure Using Noise Estimation for Differential Privacy4
RCIVMM: A Route Choice-Based Interactive Voting Map Matching Approach for Complex Urban Road Networks3
Online POI Recommendation: Learning Dynamic Geo-Human Interactions in Streams3
Efficient Event Inference and Context-Awareness in Internet of Things Edge Systems3
MarS-FL: Enabling Competitors to Collaborate in Federated Learning3
Dense or Sparse : Elastic SPMM Implementation for Optimal Big-Data Processing3
Visual Analysis of Spatio-Temporal Event Predictions: Investigating the Spread Dynamics of Invasive Species3
Data Privacy Threat Modelling for Autonomous Systems: A Survey From the GDPR's Perspective3
LGM-GNN: A Local and Global Aware Memory-Based Graph Neural Network for Fraud Detection3
Deep Incremental Hashing for Semantic Image Retrieval With Concept Drift3
Modeling and Visualizing Student Flow3
Self-Attention Graph Convolution Residual Network for Traffic Data Completion3
A Time Series Mining Approach for Agricultural Area Detection3
Parallel Overlapping Community Detection Algorithm on GPU3
Cross-Region Courier Displacement for On-Demand Delivery With Multi-Agent Reinforcement Learning3
Comorbidity Patterns and Its Impact on Health Outcomes: Two-Way Clustering Analysis3
Hierarchical Recovery of Missing Air Pollution Data via Improved Long-Short Term Context Encoder Network3
BitAnalysis: A Visualization System for Bitcoin Wallet Investigation3
Efficient Learned Spatial Index With Interpolation Function Based Learned Model3
Mining Hierarchical Information of CNNs for Scene Classification of VHR Remote Sensing Images3
Shadow: Exploiting the Power of Choice for Efficient Shuffling in MapReduce3
Crime Prediction With Missing Data Via Spatiotemporal Regularized Tensor Decomposition3
Efficient Strong Privacy-Preserving Conjunctive Keyword Search Over Encrypted Cloud Data3
Innovative Approach for PMM Data Processing and Analytics3
Identification of Communities With Multi-Semantics via Bayesian Generative Model3
What and Why? Towards Duo Explainable Fauxtography Detection Under Constrained Supervision3
Product Supply Optimization for Crowdfunding Campaigns3
Relaxed Locality Preserving Supervised Discrete Hashing3
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