yusuke1997/dblp-id-title huggingface dataset:
A Framework for Pandemic Prediction Using Big Data Analytics
ML-aVAT: A Novel 2-Stage Machine-Learning Approach for Automatic Clustering Tendency Assessment
Assessment of soil fertility in Xinjiang oasis cotton field based on big data techniques
Properties and Performance of the ABCDe Random Graph Model with Community Structure
kluster : An Efficient Scalable Procedure for Approximating the Number of Clusters in Unsupervised Learning
Multi-Label Regularized Generative Model for Semi-Supervised Collective Classification in Large-Scale Networks
STED: An encoder-decoder architecture for long-term spatio-temporal weather forecasting
Women in life sciences firms: Gender diversity and roles indicator from data integration
Bipartite graph partitioning and spatial bootstrapping methods: A case study of innovative startups
A Parallel Fusion Graph Convolutional Network for Aspect-Level Sentiment Analysis
Forecasting Price Movements in Betting Exchanges Using Cartesian Genetic Programming and ANN
Big Data Exploration, Visualization and Analytics
Research on the legal system of economic-ecological synergistic compensation in carbon neutral marine cities with a background in big data
Boosting the Efficiency of Large-Scale Entity Resolution with Enhanced Meta-Blocking
A Hybrid Data Center Architecture for Big Data
A Real Time Deep Learning Based Approach for Detecting Network Attacks
Incorporating Phase-Encoded Spectrum Masking into Speaker-Independent Monaural Source Separation
An Analytic Graph Data Model and Query Language for Exploring the Evolution of Science
From Big Data to Data Science: A Multi-disciplinary Perspective
Geospatial Big Data: Challenges and Opportunities
Big Data Model Simulation on a Graph Database for Surveillance in Wireless Multimedia Sensor Networks
An Embedding Model for Knowledge Graph Completion Based on Graph Sub-Hop Convolutional Network
Principal component analysis of multivariate spatial functional data
Prototyping a GPGPU Neural Network for Deep-Learning Big Data Analysis
What Is a Multi-Modal Knowledge Graph: A Survey
Research on modeling of the imbalanced fraudulent transaction detection problem based on embedding-aware conditional GAN
CSIP: Enhanced Link Prediction with Context of Social Influence Propagation
Towards Sustainable Smart City by Particulate Matter Prediction Using Urban Big Data, Excluding Expensive Air Pollution Infrastructures
A Multi-Task Sequential State Model for the Human Trajectory Data Understanding
Force-Directed Timelines: Visualizing & Exploring Temporal Patterns
Investigating Influence of Google-Play Application Titles on Success
Editorial for Special Issue on "Big Data and Smart Cities"
Big data analytics for smart home energy management system based on IOMT using AHP and WASPAS
Risk Prediction of Renal Failure for Chronic Disease Population Based on Electronic Health Record Big Data
Special Issue on Real-Time Intelligent Systems
PatSeg: A Sequential Patent Segmentation Approach
Efficient time series forecasting with gated attention and patched data: A transformer-based approach
The Predictability of Stock Price: Empirical Study on Tick Data in Chinese Stock Market
A decision tree algorithm based on adaptive entropy of feature value importance
Augmented Functional Analysis of Variance (A-fANOVA): Theory and Application to Google Trends for Detecting Differences in Abortion Drugs Queries
Incomplete data classification via positive approximation based rough subspaces ensemble
Using Big Data to Improve Safety Performance: An Application of Process Mining to Enhance Data Visualisation
An Integration visual navigation algorithm for urban air mobility
Significance and Challenges of Big Data Research
DIGITNET: A Deep Handwritten Digit Detection and Recognition Method Using a New Historical Handwritten Digit Dataset
Promises and Challenges of Big Data Computing in Health Sciences
Reference Architecture and Classification of Technologies, Products and Services for Big Data Systems
Agreeing to Disagree: Choosing Among Eight Topic-Modeling Methods
HiePaCo: Scalable Hierarchical Exploration in Abstract Parallel Coordinates Under Budget Constraints
Cardinality Estimation Meets Good-Turing
WISE: Workload-Aware Partitioning for RDF Systems
A Near-Linear Time Subspace Search Scheme for Unsupervised Selection of Correlated Features
Accelerating Columnar Storage Based on Asynchronous Skipping Strategy
Virtual Finger-Point Reading Behaviors: A Case Study of Mouse Cursor Movements on a Website
How to Quantify the Impact of Lossy Transformations on Event Detection
Explanation-Guided Adversarial Example Attacks
Asymmetric deviation entropy regularization for semi-supervised fuzzy C-means clustering and its fast Algorithm
The narrative on tourism sustainability in Italian news: A text mining approach
Towards a Comprehensive Data Analytics Framework for Smart Healthcare Services
Similarity Measurement for Graph Data: An Improved Centrality and Geometric Perspective-Based Approach
Improved Tesseract optical character recognition performance on Thai document datasets
Scaling the Growing Neural Gas for Visual Cluster Analysis
Classifier-Based Nonuniform Time Slicing Method for Local Community Evolution Analysis
Data Science Methodologies: Current Challenges and Future Approaches
A Framework for Evaluating Personalized Ranking Systems by Fusing Different Evaluation Measures
Anytime Frequent Itemset Mining of Transactional Data Streams
Big Data Systems Meet Machine Learning Challenges: Towards Big Data Science as a Service
A Hierarchical Dimension Reduction Approach for Big Data with Application to Fault Diagnostics
Insights into Antidepressant Prescribing Using Open Health Data
Detecting Seasonal Dependencies in Production Lines for Forecast Optimization
Efficient In-Database Patient Similarity Analysis for Personalized Medical Decision Support Systems
Cost optimization model design of fresh food cold chain system in the context of big data
Using Network Analysis and Machine Learning to Identify Virus Spread Trends in COVID-19
Finding the Best Classification Threshold in Imbalanced Classification
End-PolarT: Polar Representation for End-to-End Scene Text Detection
Has machine paraphrasing skills approached humans? Detecting automatically and manually generated paraphrased cases
Multi-granularity enhanced graph convolutional network for aspect sentiment triplet extraction
Deep semantics-preserving cross-modal hashing
Fine-Grained Evaluation of Knowledge Graph Embedding Model in Knowledge Enhancement Downstream Tasks
MLPQ: A Dataset for Path Question Answering over Multilingual Knowledge Graphs
Regularized Least Squares Twin SVM for Multiclass Classification
Editorial to the Special Issue on Big Data in Industrial and Commercial Applications
Interactive big data visualization and analytics
Botnet DGA Domain Name Classification Using Transformer Network with Hybrid Embedding
Fine Clustering Analysis of Internet Financial Credit Investigation Based on Big Data
Demystifying Big Data Analytics for Business Intelligence Through the Lens of Marketing Mix
Cross-Industry Process Standardization for Text Analytics
Early Pathogen Prediction in Crops Using Nano Biosensors and Neural Network-Based Feature Extraction and Classification
Quantitative analysis of big data for land resource classification and zoning at the township level in Northern Shaanxi
SMARTLET: A Dynamic Architecture for Real Time Face Recognition in Smartphone Using Cloudlets and Cloud
A Security Management Framework for Big Data in Smart Healthcare
Building and Operating a Large-Scale Enterprise Data Analytics Platform
Saving food surplus and developing new business models: Exploring the potential of 'Too Good To Go' at territorial level using web-scraped data
A Dynamic Data Placement Strategy for Hadoop in Heterogeneous Environments
Integrating Models and Fusing Data in a Deep Ensemble Learning Method for Predicting Epidemic Diseases Outbreak
Towards Hybrid Multi-Cloud Storage Systems: Understanding How to Perform Data Transfer
evoStream - Evolutionary Stream Clustering Utilizing Idle Times
Big Sensor Data Applications in Urban Environments
Time-Series Graph Network for Sea Surface Temperature Prediction
Tensor Decomposition Based Approach for Training Extreme Learning Machines
Applying Parallel Computing Techniques to Analyze Terabyte Atmospheric Boundary Layer Model Outputs
Classification of Large DNA Methylation Datasets for Identifying Cancer Drivers
Practical Identification of Dynamic Precedence Criteria to Produce Critical Results from Big Data Streams
Spatio-Temporal Characteristics of Influenza Burden and Its Influence Factors in Japan in the Past Three Decades: An Influenza Disease Burden Data-Based Modeling Study
A Semantic Approach for Big Data Exploration in Industry 4.0
Improving Diagnosis Estimation by Considering the Periodic Span of the Life Cycle Based on Personal Health Data
Tracing the Pace of COVID-19 Research: Topic Modeling and Evolution
Linked Open Government Data to Predict and Explain House Prices: The Case of Scottish Statistics Portal
Tropical cyclone trajectory based on satellite remote sensing prediction and time attention mechanism ConvLSTM model
Hierarchical Collective I/O Scheduling for High-Performance Computing
A Cross-Chain Mechanism for Agricultural Engineering Document Management Blockchain in the Context of Big Data
Modeling meaningful volatility events to classify monetary policy announcements
Task-Oriented Collaborative Graph Embedding Using Explicit High-Order Proximity for Recommendation
ELAN: An Efficient Location-Aware Analytics System
What Are Data? A Categorization of the Data Sensitivity Spectrum
Classification Performance Improvement Using Random Subset Feature Selection Algorithm for Data Mining
The Use of Smart Home Speakers by the Elderly: Exploratory Analyses and Potential for Big Data
SMR: Medical Knowledge Graph Embedding for Safe Medicine Recommendation
Multi-Tier Resource Allocation for Data-Intensive Computing
A Segmented PageRank-Based Value Compensation Method for Personal Data in Alliance Blockchains
Editorial for Special Issue on "Hybrid Evolutionary and Swarm Techniques for Big Data Analytics and Applications"
Efficient Resource Management System Based on 4Vs of Big Data Streams
Meta-Learning Based Dynamic Adaptive Relation Learning for Few-Shot Knowledge Graph Completion
Marcher: A Heterogeneous System Supporting Energy-Aware High Performance Computing and Big Data Analytics
Adaptive spectral GNN and frequency enhanced self-attention for traffic forecasting
Anomaly detection based on system text logs of virtual network functions
Multi-dimensional feature learning for visible-infrared person re-identification
A multiscale electricity theft detection model based on feature engineering
Flexible Subspace Clustering: A Joint Feature Selection and K-Means Clustering Framework
Network-Based Trajectory Search over Time Intervals
Hadoop MapReduce Performance on SSDs for Analyzing Social Networks
A novel approach for job matching and skill recommendation using transformers and the O*NET database
Fog-Computing Based Healthcare Framework for Predicting Encephalitis Outbreak
Predicting Adverse Events After Surgery
Image Classification Approach Using Machine Learning and an Industrial Hadoop Based Data Pipeline
Business digitalization in Italy: A comprehensive analysis using supplementary fuzzy set approach
Multi-Temperate Logical Data Warehouse Design for Large-Scale Healthcare Data
ViewSeeker: An Interactive View Recommendation Framework
Models and Practices in Urban Data Science at Scale
Visual Analytics of Trajectories with RoseTrajVis
Correlation Expert Tuning System for Performance Acceleration
Parallel Framework for Memory-Efficient Computation of Image Descriptors for Megapixel Images
A decentralized metaheuristic approach to feature selection inspired by social interactions within a societal framework, for handling datasets of diverse sizes
Two-Stage Cooperative/Non-Cooperative Game DEA Model with Decision Preference: A Case of Chinese Industrial System
A Cloud Computing Based Network Monitoring and Threat Detection System for Critical Infrastructures
Bi-Level Prediction Model for Screening COVID-19 Patients Using Chest X-Ray Images
Efficient, interpretable and automated feature engineering for bank data
Semi-supervised topic representation through sentiment analysis and semantic networks
OMNet: Object- Perception Multi-Branch Network for Pedestrian Re-Identification
Editorial for Special Issue of Journal of Big Data Research on "Big Data Meets Knowledge Graphs"
PATH: A discrete-sequence dataset for evaluating online unsupervised anomaly detection approaches for multivariate time series
TE-PADN: A poisoning attack defense model based on temporal margin samples
A Flexible Outlier Detector Based on a Topology Given by Graph Communities
Evaluating Different Selection Criteria for Phase Type Survival Tree Construction
Heterogeneous Graph Convolutional Network Based on Correlation Matrix
Community Detection Algorithm for Big Social Networks Using Hybrid Architecture
Joint Contour Net Analysis for Feature Detection in Lattice Quantum Chromodynamics Data
Producing Linked Data for Smart Cities: The Case of Catania
Optimizing image captioning: The effectiveness of vision transformers and VGG networks for remote sensing
SA 2 - MCD : Secured Architecture for Allocation of Virtual Machine in Multitenant Cloud Databases
Automated Deployment of a Spark Cluster with Machine Learning Algorithm Integration
A Multi-Objective Clustering for Better Data Management in Connected Environment
An Improved CycleGAN for Data Augmentation in Person Re-Identification
Label-Aware Distributed Ensemble Learning: A Simplified Distributed Classifier Training Model for Big Data
Deep Learning-Based Weather Prediction: A Survey
Tangible progress: Employing visual metaphors and physical interfaces in AI-based English language learning
Parallelizing Computations of Full Disjunctions
Predicting Household Electric Power Consumption Using Multi-step Time Series with Convolutional LSTM
Research on adaptive long-term time series carbon dioxide emission prediction model based on improved multilayer perceptron
Embedding Semantic Anchors to Guide Topic Models on Short Text Corpora
Big Data for Open Digital Innovation - A Research Roadmap
CardioNet: An Efficient ECG Arrhythmia Classification System Using Transfer Learning
ExplorerTree: A Focus+Context Exploration Approach for 2D Embeddings
Enhancing Precision Medicine: A Big Data-Driven Approach for the Management of Genomic Data
Faster Multidimensional Data Queries on Infrastructure Monitoring Systems
A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting
Leveraging social computing for epidemic surveillance: A case study
FB + -tree for Big Data Management
High Frequency Analysis of Macro News Releases on the Foreign Exchange Market: A Survey of Literature
Settlement patterns, official statistics and geo-economic dynamics: Evidence from a LADISC approach to Italy
Cost Optimization for Big Data Workloads Based on Dynamic Scheduling and Cluster-Size Tuning
Hierarchical Multiresolution Representation of Streaming Time Series
Core dataset extraction from unlabeled medical big data for lesion localization
Complex data in tourism analysis: A stochastic approach to price competition
Feature Ranking Importance from Multimodal Radiomic Texture Features using Machine Learning Paradigm: A Biomarker to Predict the Lung Cancer
FDN-learning: Urban PM 2.5 -concentration Spatial Correlation Prediction Model Based on Fusion Deep Neural Network
Programming with BIG Data in R: Scaling Analytics from One to Thousands of Nodes
Efficient training: Federated learning cost analysis
Unleashing the power of digital twin and big data as a new frontier for smart mobility: An ecosystem perspective
Graph Spatial-Temporal Transformer Network for Traffic Prediction
Exploiting Renewable Energy and UPS Systems to Reduce Power Consumption in Data Centers
Data-Efficient Performance Modeling for Configurable Big Data Frameworks by Reducing Information Overlap Between Training Examples
Big Data Compliance for Innovative Clinical Models
On the Sea Surface Temperature Forecasting Problem with Deep Dilation-Erosion-Linear Models
A Survey on Data-driven Performance Tuning for Big Data Analytics Platforms
Big Graph Mining: Frameworks and Techniques
A Large Comparison of Normalization Methods on Time Series
Spatiotemporal Prediction Based on Feature Classification for Multivariate Floating-Point Time Series Lossy Compression
Big Data in organizations: Exploring the adoption of Big Data applications and their impact on organizations in China and the Netherlands
A Novel Clustering Method Using Enhanced Grey Wolf Optimizer and MapReduce
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 Cryptocurrencies
Positional-attention based bidirectional deep stacked AutoEncoder for aspect based sentimental analysis
Survey on Learnable Databases: A Machine Learning Perspective
NGLinker: Link prediction for node featureless networks
An Intelligent Government Complaint Prediction Approach
The influence of China's exchange rate market on the Belt and Road trade market: Based on temporal two-layer networks
A big data driven vegetation disease and pest region identification method based on self supervised convolutional neural networks and parallel extreme learning machines
A multimodal deep learning framework for constructing a market sentiment index from stock news
Study on Landscape Architecture Model Design Based on Big Data Intelligence
Efficient Mining of Hotspot Regional Patterns with Multi-Semantic Trajectories
Editorial for Special Issue of Journal of Big Data Research on "Big Medical/Healthcare Data Analytics"
Correcting inconsistencies in knowledge graphs with correlated knowledge
Anomaly Detection and Repair for Accurate Predictions in Geo-distributed Big Data
Systematic Review of the Literature on Big Data in the Transportation Domain: Concepts and Applications
Approximate Parallel High Utility Itemset Mining
BETM: A new pre-trained BERT-guided embedding-based topic model
Novel V2X-based traffic congestion prediction system
Social Media Data and Users' Preferences: A Statistical Analysis to Support Marketing Communication
Techniques for interactive visual examination of vessel performance
ImDMI: Improved Distributed M-Invariance model to achieve privacy continuous big data publishing using Apache Spark
A Big Data Analytics Architecture for Smart Cities and Smart Companies
Scalable Diversified Top-k Pattern Matching in Big Graphs
Entity Resolution with Recursive Blocking
Random Forests for Big Data
Assessing the Quality of Service Using Big Data Analytics: With Application to Healthcare
Scalable and Flexible Two-Phase Ensemble Algorithms for Causality Discovery
Ontology-Mediated SPARQL Query Answering over Knowledge Graphs
Remote sensing-enhanced transfer learning approach for agricultural damage and change detection: A deep learning perspective
Route Search and Planning: A Survey
Train Delay Prediction Systems: A Big Data Analytics Perspective
Data Reduction Through Increased Data Utilization in Chemical Dynamics Simulations
Dependency Visualization in Data Stream Profiling
Scheduling critical periodic jobs with selective partial computations along with gang jobs
Big Data Analytics for Dynamic Energy Management in Smart Grids
Predicting Response Time of Concurrent Queries with Similarity Models
A Full-Sample Clustering Model Considering Whole Process Optimization of Data
Setting Privacy "by Default" in Social IoT: Theorizing the Challenges and Directions in Big Data Research
Epidemic Spreading in Trajectory Networks
Leveraging artificial intelligence for pandemic management: Case of COVID-19 in the United States
epiCG: A GraphUnit Based Graph Processing Engine on epiC
Visual Exploration of Geolocated Time Series with Hybrid Indexing
Machine Learning with Big Data An Efficient Electricity Generation Forecasting System
A Parallel MapReduce Algorithm to Efficiently Support Itemset Mining on High Dimensional Data
Special Issue on Scalable Computing for Big Data
Urban Hierarchical Open-up Schemes Based on Fine Regional Epidemic Data for the Lockdown in COVID-19
Scalable Tensor Mining
Explainable malware detection through integrated graph reduction and learning techniques
Effective adaptive res-BiGRU network for pest classification performance based on regionViT-yolov8-aided pest detection technique
ComBI: Compressed Binary Search Tree for Approximate k -NN Searches in Hamming Space
Accelerating Progressive Set Similarity Join with the CPU-GPU Architecture
Crop monitoring using remote sensing land use and land change data: Comparative analysis of deep learning methods using pre-trained CNN models
Deep neural network modeling for financial time series analysis
A Multi-View Filter for Relation-Free Knowledge Graph Completion
A multiple-group hidden Markov model for multi-source data. Cross-country differences in employment mobility in the presence of measurement error
Attentive Implicit Relation Embedding for Event Recommendation in Event-Based Social Network
ScaDiPaSi: An Effective Scalable and Distributable MapReduce-Based Method to Find Patient Similarity on Huge Healthcare Networks
JECI++: A Modified Joint Knowledge Graph Embedding Model for Concepts and Instances
Hybrid Bridge-Based Memetic Algorithms for Finding Bottlenecks in Complex Networks
A Novel Big Data Approach for Record and Represent Compliance in the Covid-19 Era
Visual Exploration of Anomalies in Cyclic Time Series Data with Matrix and Glyph Representations
XDataExplorer: A Three-Stage Comprehensive Self-Tuning Tool for Big Data Platforms
Corrigendum to "A Dynamic Neural Network Architecture with Immunology Inspired Optimization for Weather Data Forecasting" [Big Data Research 14 (2018) 81-92]
Scalable Machine Learning for Predicting At-Risk Profiles Upon Hospital Admission
Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining
Search History Visualization for Collaborative Web Searching
A Data-Driven Method for Hybrid Data Assimilation with Multilayer Perceptron
Big Data for Context Aware Computing - Perspectives and Challenges
An Investigation to Identify Factors that Lead to Delay in Healthcare Reimbursement Process: A Brazilian case
LSDDL: Layer-Wise Sparsification for Distributed Deep Learning
Analytical Confidence Intervals for the Number of Different Objects in Data Streams
Compression of big data collected in wind farm based on tensor train decomposition
Unsupervised Denoising Feature Learning for Classification of Corrupted Images
An Efficient Blockchain Consensus Algorithm Based on Post-Quantum Threshold Signature
Bi-objective Traffic Optimization in Geo-distributed Data Flows
Big Data Analytics and Visualization in Traffic Monitoring
Research on the characteristics of information propagation dynamic on the weighted multiplex Weibo networks
Comparative Study of Layout Analysis of Tabulated Historical Documents
Satellite IoT Based Road Extraction from VHR Images Through Superpixel-CNN Architecture
Evaluating Standard Feature Sets Towards Increased Generalisability and Explainability of ML-Based Network Intrusion Detection
An Efficient Time Optimized Scheme for Progressive Analytics in Big Data
The Evolvement of Big Data Systems: From the Perspective of an Information Security Application
The Current Status and Challenges in Computational Analysis of Genomic Big Data
Efficient Indexing and Query Processing of Model-View Sensor Data in the Cloud
NoSQL data warehouse optimizing models: A comparative study of column-oriented approaches
An Efficient Algorithm for Spatio-Textual Object Cluster Join
A Big Data Framework to Address Building Sum Insured Misestimation
BLADYG: A Graph Processing Framework for Large Dynamic Graphs
Analysis of Occupational Profiles in the Brazilian Workforce Based on Non-Negative Matrix Factorization
Tree parameter extraction method based on new remote sensing technology and terrestrial laser scanning technology
Joint embedding in hierarchical distance and semantic representation learning for link prediction