Big Data Research

Papers
(The median citation count of Big Data Research 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 2022-08-01 to 2026-08-01.)
ArticleCitations
Automatic Prediction of T2/T3 Staging of Rectal Cancer Based on Radiomics and Machine Learning128
Improved Tesseract optical character recognition performance on Thai document datasets117
Optimizing image captioning: The effectiveness of vision transformers and VGG networks for remote sensing103
DEDSTA – An algorithm of density estimation for data streams with trend86
MomentMamba: Efficient collaborative state space modeling for joint video moment retrieval and highlight detection82
Enhancing shared bicycle management with artificial intelligence: Identifying parking aggregation areas and analyzing demand patterns45
ML-aVAT: A Novel 2-Stage Machine-Learning Approach for Automatic Clustering Tendency Assessment31
Early Pathogen Prediction in Crops Using Nano Biosensors and Neural Network-Based Feature Extraction and Classification30
MIND: A metadata-driven INgestion design pattern for efficient data ingestion26
Quantitative analysis of big data for land resource classification and zoning at the township level in Northern Shaanxi26
Data Stream Classification Based on Extreme Learning Machine: A Review25
A multiscale electricity theft detection model based on feature engineering25
Similarity Measurement for Graph Data: An Improved Centrality and Geometric Perspective-Based Approach22
An integrating multi-scale and multi-deep architectures for facial expression recognition system to predict mental health status22
Deep attention dynamic representation learning networks for recommender system review modeling21
Analysis of Occupational Profiles in the Brazilian Workforce Based on Non-Negative Matrix Factorization18
Big Data in organizations: Exploring the adoption of Big Data applications and their impact on organizations in China and the Netherlands18
A methodology to assess and evaluate sites with high potential for stormwater harvesting in Dehradun, India18
Hourglass pattern matching for deep aware neural network text recommendation model18
Development of an integrated data system for regional tourism analysis in Italy: A microdata perspective18
Heterogeneous Graph-based Risk Assessment for Internet Financial Companies with Company Big Data15
Optimizing decision support systems with adaptive column-family schema design in NoSQL data warehouses13
Fog-Computing Based Healthcare Framework for Predicting Encephalitis Outbreak12
Towards cross-lingual entity alignment with refined attribute and description features12
Unleashing the power of digital twin and big data as a new frontier for smart mobility: An ecosystem perspective12
Complex data in tourism analysis: A stochastic approach to price competition12
Editorial Board12
Supervised attention multi-scale temporal convolutional network for profit prediction utilizing a financial accounting information system11
Spatio-Temporal Characteristics of Influenza Burden and Its Influence Factors in Japan in the Past Three Decades: An Influenza Disease Burden Data-Based Modeling Study11
Editorial Board10
A novel approach for job matching and skill recommendation using transformers and the O*NET database10
A Multi-View Filter for Relation-Free Knowledge Graph Completion10
A Segmented PageRank-Based Value Compensation Method for Personal Data in Alliance Blockchains10
An attention-augmented RBF-based inversed transformer architecture for robust stock price forecasting9
Investigating Influence of Google-Play Application Titles on Success9
Meta-Learning Based Dynamic Adaptive Relation Learning for Few-Shot Knowledge Graph Completion9
Augmented Functional Analysis of Variance (A-fANOVA): Theory and Application to Google Trends for Detecting Differences in Abortion Drugs Queries9
Editorial Board8
A novel study of kernel graph regularized semi-non-negative matrix factorization with orthogonal subspace for clustering8
Distributed Heterogeneous Transfer Learning7
Techniques for interactive visual examination of vessel performance7
A Facial Expression Recognition Approach for Social IoT Frameworks7
What Is a Multi-Modal Knowledge Graph: A Survey7
Research on the characteristics of information propagation dynamic on the weighted multiplex Weibo networks7
Deep semantics-preserving cross-modal hashing7
GeoYCSB: A Benchmark Framework for the Performance and Scalability Evaluation of Geospatial NoSQL Databases6
Adaptive spectral GNN and frequency enhanced self-attention for traffic forecasting6
MLPQ: A Dataset for Path Question Answering over Multilingual Knowledge Graphs6
ImDMI: Improved Distributed M-Invariance model to achieve privacy continuous big data publishing using Apache Spark6
Correcting inconsistencies in knowledge graphs with correlated knowledge6
Positional-attention based bidirectional deep stacked AutoEncoder for aspect based sentimental analysis6
Intelligent geological interpretation of AMT data based on machine learning6
Multi-granularity enhanced graph convolutional network for aspect sentiment triplet extraction6
BETM: A new pre-trained BERT-guided embedding-based topic model6
Editorial Board6
Efficient time series forecasting with gated attention and patched data: A transformer-based approach6
Machine Learning for Tsunami Waves Forecasting Using Regression Trees6
Heterogeneous Graph Convolutional Network Based on Correlation Matrix5
A Twig-Based Algorithm for Top-k Subgraph Matching in Large-Scale Graph Data5
Deep Learning Techniques for Enhanced Mangrove Land use and Land change from Remote Sensing Imagery: A Blue Carbon Perspective5
The Predictability of Stock Price: Empirical Study on Tick Data in Chinese Stock Market5
Compression of big data collected in wind farm based on tensor train decomposition5
Mitigating skill measurement bias in occupational systems: An encoder-Decoder framework cooperated with income prediction5
Correlation Expert Tuning System for Performance Acceleration5
Editorial Board5
VertexLocater: PIM-enabled dynamic offloading for graph computing4
Unmasking hate in the pandemic: A cross-platform study of the COVID-19 infodemic4
Integration of dimensionality reduction and metaheuristic optimization for spatiotemporal clustering of transit stops using ticketing data4
Scalable Diversified Top-k Pattern Matching in Big Graphs4
Explanation-Guided Adversarial Example Attacks4
Editorial Board4
Understanding the real impact of multiple popularity biases in recommender systems4
Editorial Board4
The influence of China's exchange rate market on the Belt and Road trade market: Based on temporal two-layer networks4
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-Based Network Intrusion Detection4
An Embedding Model for Knowledge Graph Completion Based on Graph Sub-Hop Convolutional Network3
Dynamics-informed model for spatiotemporal forecasting of influenza cases3
E-word of mouth in sales volume forecasting: Toyota Camry case study3
Generative Pre-trained Transformer-3 based feature extraction and classification using hybrid GRU-SGO for telecom service recommendation system3
A dual algorithmic approach to deal with multiclass imbalanced classification problems3
Asymmetric deviation entropy regularization for semi-supervised fuzzy C-means clustering and its fast Algorithm3
Knowledge-fusion data augmentation for cigarette time series anomalies3
Scheduling critical periodic jobs with selective partial computations along with gang jobs3
Data-Efficient Performance Modeling for Configurable Big Data Frameworks by Reducing Information Overlap Between Training Examples3
Special Issue on Real-Time Intelligent Systems3
Remote sensing-enhanced transfer learning approach for agricultural damage and change detection: A deep learning perspective3
Accelerating Columnar Storage Based on Asynchronous Skipping Strategy3
Chlorophyll-a concentration variations in Bohai sea: Impacts of environmental complexity and human activities based on remote sensing technologies3
Exogenous variable driven cotton prices prediction: comparison of statistical model with sequence based deep learning models3
Modeling meaningful volatility events to classify monetary policy announcements2
Hybrid quantum GAN- integrated synthetic data generation with privacy-embedded attention framework for financial forecasting and risk analysis2
Efficiently Mining Colocation Patterns for Range Query2
Classifier-Based Nonuniform Time Slicing Method for Local Community Evolution Analysis2
Study on the Temporal and Spatial Evolution Characteristics of Chinese Public's Cognition and Attitude to “Double Reduction” Policy Based on Big Data2
NoSQL data warehouse optimizing models: A comparative study of column-oriented approaches2
Location data privacy protection for the logistics order data publishing in intelligent logistics big data platform2
Predicting option prices: From the Black-Scholes model to machine learning methods2
Dynamic fusion method of multi-source sensor data based on improved RBF network algorithm2
An Integration visual navigation algorithm for urban air mobility2
Realistic image-to-image machine unlearning via decoupling and knowledge retention2
Settlement patterns, official statistics and geo-economic dynamics: Evidence from a LADISC approach to Italy2
A Large Comparison of Normalization Methods on Time Series2
Graph Waves2
TE-PADN: A poisoning attack defense model based on temporal margin samples2
Editorial Board2
Airspace situation analysis of terminal area traffic flow prediction based on big data and machine learning methods2
Neural Topic Modeling with Deep Mutual Information Estimation2
Explainable malware detection through integrated graph reduction and learning techniques2
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