Big Data Research

Papers
(The median citation count of Big Data Research 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
SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation93
Deep Learning-Based Weather Prediction: A Survey75
A Framework for Pandemic Prediction Using Big Data Analytics64
NGCU: A New RNN Model for Time-Series Data Prediction54
Data Science Methodologies: Current Challenges and Future Approaches47
DIGITNET: A Deep Handwritten Digit Detection and Recognition Method Using a New Historical Handwritten Digit Dataset44
Richpedia: A Large-Scale, Comprehensive Multi-Modal Knowledge Graph43
Setting Privacy “by Default” in Social IoT: Theorizing the Challenges and Directions in Big Data Research40
Data-Driven Computational Social Science: A Survey39
A Decision-Level Fusion Method for COVID-19 Patient Health Prediction37
A Security Management Framework for Big Data in Smart Healthcare37
Smart Pharmaceutical Manufacturing: Ensuring End-to-End Traceability and Data Integrity in Medicine Production36
Educational Big Data: Predictions, Applications and Challenges35
Towards Efficient Energy Utilization Using Big Data Analytics in Smart Cities for Electricity Theft Detection34
Big Data Analytics and Visualization in Traffic Monitoring28
Time-Series Graph Network for Sea Surface Temperature Prediction26
Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning26
Bi-Level Prediction Model for Screening COVID-19 Patients Using Chest X-Ray Images25
CardioNet: An Efficient ECG Arrhythmia Classification System Using Transfer Learning24
Information Needs Mining of COVID-19 in Chinese Online Health Communities22
Theodolite: Scalability Benchmarking of Distributed Stream Processing Engines in Microservice Architectures22
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-Based Network Intrusion Detection19
Big Data in Forecasting Research: A Literature Review17
Tracing the Pace of COVID-19 Research: Topic Modeling and Evolution17
FDN-learning: Urban PM2.5-concentration Spatial Correlation Prediction Model Based on Fusion Deep Neural Network17
Flexible Subspace Clustering: A Joint Feature Selection and K-Means Clustering Framework17
Predicting Household Electric Power Consumption Using Multi-step Time Series with Convolutional LSTM16
Social Media Data and Users' Preferences: A Statistical Analysis to Support Marketing Communication16
Downsampling for Binary Classification with a Highly Imbalanced Dataset Using Active Learning16
A Big Data Analytics Architecture for Smart Cities and Smart Companies15
“Brains” for Robots: Application of the Mivar Expert Systems for Implementation of Autonomous Intelligent Robots14
Using Big Data to Improve Safety Performance: An Application of Process Mining to Enhance Data Visualisation14
A Semantic Approach for Big Data Exploration in Industry 4.013
Linked Open Government Data to Predict and Explain House Prices: The Case of Scottish Statistics Portal13
Exploiting Renewable Energy and UPS Systems to Reduce Power Consumption in Data Centers13
A Data-Driven Method for Hybrid Data Assimilation with Multilayer Perceptron12
Study on Landscape Architecture Model Design Based on Big Data Intelligence11
Regularized Least Squares Twin SVM for Multiclass Classification11
Building and Operating a Large-Scale Enterprise Data Analytics Platform11
Anytime Frequent Itemset Mining of Transactional Data Streams10
Route Search and Planning: A Survey10
Image Classification Approach Using Machine Learning and an Industrial Hadoop Based Data Pipeline10
Dependency Visualization in Data Stream Profiling10
Epidemic Spreading in Trajectory Networks10
Data Price Determinants Based on a Hedonic Pricing Model9
CSIP: Enhanced Link Prediction with Context of Social Influence Propagation9
Real-Time Traffic Speed Estimation for Smart Cities with Spatial Temporal Data: A Gated Graph Attention Network Approach9
Agreeing to Disagree: Choosing Among Eight Topic-Modeling Methods9
A Survey on Data-driven Performance Tuning for Big Data Analytics Platforms9
Integrating Models and Fusing Data in a Deep Ensemble Learning Method for Predicting Epidemic Diseases Outbreak9
Risk Prediction of Renal Failure for Chronic Disease Population Based on Electronic Health Record Big Data8
Using Network Analysis and Machine Learning to Identify Virus Spread Trends in COVID-198
An Efficient Blockchain Consensus Algorithm Based on Post-Quantum Threshold Signature7
Scaling the Growing Neural Gas for Visual Cluster Analysis7
Intelligent Narrative Summaries: From Indicative to Informative Summarization7
Ontology-Mediated SPARQL Query Answering over Knowledge Graphs7
Investigating Automatic Parameter Tuning for SQL-on-Hadoop Systems7
The Forgotten Document-Oriented Database Management Systems: An Overview and Benchmark of Native XML DODBMSes in Comparison with JSON DODBMSes7
Augmented Functional Analysis of Variance (A-fANOVA): Theory and Application to Google Trends for Detecting Differences in Abortion Drugs Queries7
Knowledge Graph-Based Spatial-Aware User Community Preference Query Algorithm for LBSNs7
Two-Stage Cooperative/Non-Cooperative Game DEA Model with Decision Preference: A Case of Chinese Industrial System7
A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures6
A Big Data-Driven Hybrid Solution to the Indoor-Outdoor Detection Problem6
Properties and Performance of the ABCDe Random Graph Model with Community Structure6
Federated Geo-Distributed Clouds: Optimizing Resource Allocation Based on Request Type Using Autonomous and Multi-objective Resource Sharing Model6
The Use of Smart Home Speakers by the Elderly: Exploratory Analyses and Potential for Big Data6
Data Stream Classification Based on Extreme Learning Machine: A Review6
Comparative Study of Layout Analysis of Tabulated Historical Documents6
Fine-Grained Evaluation of Knowledge Graph Embedding Model in Knowledge Enhancement Downstream Tasks6
ExplorerTree: A Focus+Context Exploration Approach for 2D Embeddings5
Contextualized Fairness for Recommender Systems in Premium Scenarios5
Search History Visualization for Collaborative Web Searching5
Wetland identification through remote sensing: Insights into wetness, greenness, turbidity, temperature, and changing landscapes5
Cross-Industry Process Standardization for Text Analytics5
Enhancing Precision Medicine: A Big Data-Driven Approach for the Management of Genomic Data5
Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery5
A Facial Expression Recognition Approach for Social IoT Frameworks5
A New Hybrid Model of Fuzzy Time Series and Genetic Algorithm Based Machine Learning Algorithm: A Case Study of Forecasting Prices of Nine Types of Major Cryptocurrencies5
WISE: Workload-Aware Partitioning for RDF Systems5
Feature Ranking Importance from Multimodal Radiomic Texture Features using Machine Learning Paradigm: A Biomarker to Predict the Lung Cancer5
SA2-MCD: Secured Architecture for Allocation of Virtual Machine in Multitenant Cloud Databases5
Few-Shot Relation Extraction Towards Special Interests5
Spatiotemporal Prediction Based on Feature Classification for Multivariate Floating-Point Time Series Lossy Compression4
A Full-Sample Clustering Model Considering Whole Process Optimization of Data4
Proof-of-Activity Consensus Algorithm Based on K-Medoids Clustering4
Incorporating Phase-Encoded Spectrum Masking into Speaker-Independent Monaural Source Separation4
A Parallel Fusion Graph Convolutional Network for Aspect-Level Sentiment Analysis4
Core dataset extraction from unlabeled medical big data for lesion localization4
ViewSeeker: An Interactive View Recommendation Framework4
Visual Exploratory Data Analysis for Copy Number Variation Studies in Biomedical Research4
An Intelligent Government Complaint Prediction Approach4
Performance Benchmarking of Parallel Hyperparameter Tuning for Deep Learning Based Tornado Predictions4
Visual Exploration of Anomalies in Cyclic Time Series Data with Matrix and Glyph Representations4
ComBI: Compressed Binary Search Tree for Approximate k-NN Searches in Hamming Space3
Improving Diagnosis Estimation by Considering the Periodic Span of the Life Cycle Based on Personal Health Data3
JECI++: A Modified Joint Knowledge Graph Embedding Model for Concepts and Instances3
Survey on Learnable Databases: A Machine Learning Perspective3
Neural Topic Modeling with Deep Mutual Information Estimation3
Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding3
Early Pathogen Prediction in Crops Using Nano Biosensors and Neural Network-Based Feature Extraction and Classification3
Efficiently Mining Colocation Patterns for Range Query3
Hierarchical Multiresolution Representation of Streaming Time Series3
Editorial to the Special Issue on Big Data in Industrial and Commercial Applications3
Unsupervised Denoising Feature Learning for Classification of Corrupted Images3
Visual Analytics of Trajectories with RoseTrajVis3
A Service Sustainable Live Migration Strategy for Multiple Virtual Machines in Cloud Data Centers3
What Is a Multi-Modal Knowledge Graph: A Survey3
PXDedup: Deduplicating Massive Visually Identical JPEG Image Data3
A Novel Big Data Approach for Record and Represent Compliance in the Covid-19 Era3
Fog-Computing Based Healthcare Framework for Predicting Encephalitis Outbreak3
LSDDL: Layer-Wise Sparsification for Distributed Deep Learning3
A methodology to assess and evaluate sites with high potential for stormwater harvesting in Dehradun, India3
GeoYCSB: A Benchmark Framework for the Performance and Scalability Evaluation of Geospatial NoSQL Databases3
Multi-Temperate Logical Data Warehouse Design for Large-Scale Healthcare Data3
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