yusuke1997/dblp-id-title huggingface dataset:
FLAG: Faster Learning on Anchor Graph with Label Predictor Optimization
Learning to Classify Fine-Grained Categories with Privileged Visual-Semantic Misalignment
A Recommendation System Based on Hierarchical Clustering of an Article-Level Citation Network
Verifiable and Privacy-Preserving $k$k-NN Query Scheme With Multiple Keys
Multi-Modal Description of Public Safety Events Using Surveillance and Social Media
Emulating Reader Behaviors for Fake News Detection
BL: An Efficient Index for Reachability Queries on Large Graphs
In-Memory Stream Indexing of Massive and Fast Incoming Multimedia Content
Regression Analysis of Predictions and Forecasts of Cloud Data Center KPIs Using the Boosted Decision Tree Algorithm
Graph Convolutional Networks With Collaborative Feature Fusion for Sequential Recommendation
Towards Max-Min Fair Resource Allocation for Stream Big Data Analytics in Shared Clouds
Geometric Algebra Multi-Order Graph Neural Network for Traffic Prediction
Architecting Time-Critical Big-Data Systems
Pattern Discovery in Internet Background Radiation
Guest Editorial Special Issue on Federated Learning for Big Data Applications
PViTGAtt-IP: Severity Quantification of Lung Infections in Chest X-Rays and CT Scans via Parallel and Cross-Attended Encoders
Enhancing the Transferability of Adversarial Examples With Random Diversity Ensemble and Variance Reduction Augmentation
GradientFlow: Optimizing Network Performance for Large-Scale Distributed DNN Training
Heterogeneous Device Collaboration Based Federated Learning for Big Data Applications
Human Activity Recognition with Posture Tendency Descriptors on Action Snippets
Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning
TS-RTPM-Net: Data-Driven Tensor Sketching for Efficient CP Decomposition
Speed Up Big Data Analytics by Unveiling the Storage Distribution of Sub-Datasets
An End-to-End Approach for Graph-Based Multi-View Data Clustering
Opportunistic Discovery of Personal Places Using Multi-Source Sensor Data
Adaptively-Accelerated Parallel Stochastic Gradient Descent for High-Dimensional and Incomplete Data Representation Learning
MC-GNN: Multi-Channel Graph Neural Networks With Hilbert-Schmidt Independence Criterion
BioCyBig: A Cyberphysical System for Integrative Microfluidics-Driven Analysis of Genomic Association Studies
Multi-Relational Data Characterization by Tensors: Tensor Inversion
Understanding Urban Dynamics From Massive Mobile Traffic Data
ESB-FL: Efficient and Secure Blockchain-Based Federated Learning With Fair Payment
Ensemble Approaches for Dynamic Data Stream Classification Under Label Scarcity
Spatial-Attention and Demographic-Augmented Generative Adversarial Imputation Network for Population Health Data Reconstruction
Weakly Supervised Cross-Modal Hashing
MarS-FL: Enabling Competitors to Collaborate in Federated Learning
PB-TABL: Task Incremental Learning Strategy via Applying Piggyback Architecture on Temporal Attention-Augmented Bilinear Networks for Financial Time-Series Classification
Private Empirical Risk Minimization With Analytic Gaussian Mechanism for Healthcare System
Information Switching Patterns of Risk Communication in Social Media During Disasters
Robust Semi-Supervised Deep Nonnegative Matrix Factorization With Constraint Propagation for Data Representation
A Comprehensive Federated Learning Framework for Diabetic Retinopathy Grading and Lesion Segmentation
Can Scientific Impact Be Predicted?
Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma
Multi-View Multi-Task Campaign Embedding for Cold-Start Conversion Rate Forecasting
Cloud Infrastructure Resource Allocation for Big Data Applications
Visualization of Big Spatial Data Using Coresets for Kernel Density Estimates
Improving Bank-Level Parallelism for In-Memory Checkpointing in Hybrid Memory Systems
An Improved Secure High-Order-Lanczos Based Orthogonal Tensor SVD for Outsourced Cyber-Physical-Social Big Data Reduction
SBPA: Sybil-Based Backdoor Poisoning Attacks for Distributed Big Data in AIoT-Based Federated Learning System
Using App Usage Data From Mobile Devices to Improve Activity-Based Travel Demand Models
Natural Language Processing for Arabic Sentiment Analysis: A Systematic Literature Review
Toward High-Quality Spatiotemporal Recommendation: Trajectory Recovery Based on Spatial and Temporal Dependencies
Editorial: Big Data Analytics in Complex Social Information Networks
Computing Significant Cliques in Large Labeled Networks
A Deep Learning-Based Data Minimization Algorithm for Fast and Secure Transfer of Big Genomic Datasets
Multiple Testing for Outlier Detection in Space Telemetries
ConDTC: Contrastive Deep Trajectory Clustering for Fine-Grained Mobility Pattern Mining
Analyzing Big Smart Metering Data Towards Differentiated User Services: A Sublinear Approach
Terrain Scene Generation Using a Lightweight Vector Quantized Generative Adversarial Network
A Survey on Role-Oriented Network Embedding
Self-Supervised Federated Adaptation for Multi-Site Brain Disease Diagnosis
Casformer: Information Popularity Prediction With Adaptive Cascade Sampling and Graph Transformer in Social Networks
PR3: Reversible and Usability-Enhanced Visual Privacy Protection via Thumbnail Preservation and Data Hiding
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification
Billion-Scale Similarity Search with GPUs
Deep Tensor CCA for Multi-View Learning
Effective Promotional Strategies Selection in Social Media: A Data-Driven Approach
Adapt Anything: Tailor Any Image Classifier Across Domains and Categories Using Text-to-Image Diffusion Models
Federated Meta Embedding Concept Stock Recommendation
Core Maintenance on Dynamic Graphs: A Distributed Approach Built on H-Index
Self-Representation-Based Generative Graph Neural Networks for End-to-End Link Prediction
Outsourced Privacy-Preserving Data Alignment on Vertically Partitioned Database
Feature Subspace Learning-Based Binary Differential Evolution Algorithm for Unsupervised Feature Selection
Structural Balance Theory-Based E-Commerce Recommendation over Big Rating Data
A Survey of Visual Affordance Recognition Based on Deep Learning
Efficient Image Geotagging Using Large Databases
Big Data for the Social Good: The Drought Early-Warning Experience Report
LSTM Based Phishing Detection for Big Email Data
Geospatial Event Detection by Grouping Emotion Contagion in Social Media
TAMT: Privacy-Preserving Task Assignment With Multi-Threshold Range Search for Spatial Crowdsourcing Applications
Mining Hierarchical Information of CNNs for Scene Classification of VHR Remote Sensing Images
Hyperbolic Graph Attention Network
AMDECDA: Attention Mechanism Combined With Data Ensemble Strategy for Predicting CircRNA-Disease Association
ALTRUIST: A Python Package to Emulate a Virtual Digital Cohort Study Using Social Media Data
Risk-Constrained Reinforcement Learning With Augmented Lagrangian Multiplier for Portfolio Optimization
Measuring Human and Economic Activity From Satellite Imagery to Support City-Scale Decision-Making During COVID-19 Pandemic
Personalized Recommendation in P2P Lending Based on Risk-Return Management: A Multi-Objective Perspective
$d$d-Simplexed: Adaptive Delaunay Triangulation for Performance Modeling and Prediction on Big Data Analytics
Joint Multi-Feature Information Entity Alignment for Cross-Lingual Temporal Knowledge Graph With BERT
SIESTA: A Scalable Infrastructure of Sequential Pattern Analysis
Editorial Emerging Horizons: The Rise of Large Language Models and Cross-Modal Generative AI
Scientific Article Recommendation: Exploiting Common Author Relations and Historical Preferences
Neurally-Guided Semantic Navigation in Knowledge Graph
Constraint-Driven Complexity-Aware Data Science Workflow for AutoBDA
Few-Shot Learning With Multi-Granularity Knowledge Fusion and Decision-Making
Guest Editorial: Special Issue on Social Media Computing
Enhancing Weak Supervision for Concept Prerequisite Relation Learning
Weakly Semi-Supervised Deep Learning for Multi-Label Image Annotation
Expertise or Hallucination? A Comprehensive Evaluation of ChatGPT's Aptitude in Clinical Genetics
Detecting and Analyzing Urban Regions with High Impact of Weather Change on Transport
Dual Uncertainty-Guided Mixing Consistency for Semi-Supervised 3D Medical Image Segmentation
Multilevel Stochastic Optimization for Imputation in Massive Medical Data Records
Boosting Nonnegative Matrix Factorization Based Community Detection With Graph Attention Auto-Encoder
Context-Driven Granular Disclosure Control for Internet of Things Applications
A Game Theoretic Approach for Addressing Domain-Shift in Big-Data
How to Realize Efficient and Scalable Graph Embeddings via an Entropy-Driven Mechanism
Scalable Evidential K-Nearest Neighbor Classification on Big Data
Guest Editors' Introduction: Special Issue on Big Data Systems on Emerging Architectures
Unsupervised Projected Sample Selector for Active Learning
Weak Supervision Learning for Object Co-Segmentation
Reliable Data Augmented Contrastive Learning for Sequential Recommendation
A User-Oriented Taxi Ridesharing System with Large-Scale Urban GPS Sensor Data
Weakly-Supervised Cross-Domain Segmentation of Electron Microscopy With Sparse Point Annotation
Developing Novel Algorithms for Generating Inexact Data Through Triangle Distribution
An Overview of Healthcare Data Analytics With Applications to the COVID-19 Pandemic
Unsupervised Cross-View Subspace Clustering via Adaptive Contrastive Learning
Deep Neural Network-Based Impacts Analysis of Multimodal Factors on Heat Demand Prediction
Bi-Directional Feature Fixation-Based Particle Swarm Optimization for Large-Scale Feature Selection
An Efficient Multi-View Heterogeneous Hypergraph Convolutional Network for Heterogeneous Information Network Representation Learning
Computation Outsourcing Meets Lossy Channel: Secure Sparse Robustness Decoding Service in Multi-Clouds
Guest Editorial: Big Media Data: Understanding, Search, and Mining
A Marketing Topic Traceability Model Based on Domain Preference and Heterogeneous Network
Portraying Fine-Grained Tenant Portrait for Churn Prediction Using Semi-Supervised Graph Convolution and Attention Network
BiG-Fed: Bilevel Optimization Enhanced Graph-Aided Federated Learning
Cost-Efficient Heterogeneous Worker Recruitment under Coverage Requirement in Spatial Crowdsourcing
MinoRare: Handling Rare Minority Instances in Imbalanced and Drifting Data Streams Through Adaptive Instance Weighting Scheme
HashTag Erasure Codes: From Theory to Practice
A Framework for Community Detection in Large Networks Using Game-Theoretic Modeling
DAG-EnseFL: DAG-Based Asynchronous Federated Learning With Ensemble Distillation
Spatiotemporal Learning With Decoupled Causal Attention for Multivariate Time Series
AKGNN: Attribute Knowledge Graph Neural Networks Recommendation for Corporate Volunteer Activities
Incorporating Prior Knowledge in Local Differentially Private Data Collection for Frequency Estimation
A Survey on Geographically Distributed Big-Data Processing Using MapReduce
Communication-Efficient Distributed Learning via Sparse and Adaptive Stochastic Gradient
Worker Similarity-Based Label Completion for Crowdsourcing
Online Non-Stationary Pricing Incentives for Budget-Limited Crowdsensing
Hierarchical Density-Based Clustering Using MapReduce
Privacy-Accuracy Trade-Off in Differentially-Private Distributed Classification: A Game Theoretical Approach
LongArms: Fraud Prediction in Online Lending Services Using Sparse Knowledge Graph
PHAED: A Speaker-Aware Parallel Hierarchical Attentive Encoder-Decoder Model for Multi-Turn Dialogue Generation
Modeling Urban Behavior by Mining Geotagged Social Data
Symbolic Knowledge Reasoning on Hyper-Relational Knowledge Graphs
EduGraph: Learning Path-Based Hypergraph Neural Networks for MOOC Course Recommendation
SCOREH+: A High-Order Node Proximity Spectral Clustering on Ratios-of-Eigenvectors Algorithm for Community Detection
A Collaborative Network-Based Retrieval Model for Open Source Domain Experts
Guest Editorial: Urban Computing
Event Extraction by Associating Event Types and Argument Roles
MultiTec: A Data-Driven Multimodal Short Video Detection Framework for Healthcare Misinformation on TikTok
On Power-Peak-Aware Scheduling for Large-Scale Shared Clusters
Tracking the Evolution of Clusters in Social Media Streams
Tales of Two Cities: Using Social Media to Understand Idiosyncratic Lifestyles in Distinctive Metropolitan Areas
Modeling and Visualizing Student Flow
SOREL: Efficient and Secure ORE-Based Range Query Over Outsourced Data
Improved Box Embeddings for Fine-Grained Entity Typing
Deep Incremental Hashing for Semantic Image Retrieval With Concept Drift
CrowdExpress: A Probabilistic Framework for On-Time Crowdsourced Package Deliveries
Scale-Out Processing of Large RDF Datasets
Dynamic Radio Map Construction With Minimal Manual Intervention: A State Space Model-Based Approach With Imitation Learning
PKDGAN: Private Knowledge Distillation With Generative Adversarial Networks
Euler Clustering on Large-Scale Dataset
Dynamic NN-Descent: An Efficient k-NN Graph Construction Method
IEMask R-CNN: Information-Enhanced Mask R-CNN
A Survey on Spatio-Temporal Big Data Analytics Ecosystem: Resource Management, Processing Platform, and Applications
Understanding and Conquering the Difficulties in Identifying Third-Party Libraries From Millions of Android Apps
Cosine Multilinear Principal Component Analysis for Recognition
Bi-Directional Transfer Graph Contrastive Learning for Social Recommendation
AnswerNet: Learning to Answer Questions
Domain Adaptation for Label Distribution Learning
A Privacy-Preserving Large-Scale Image Retrieval Framework With Vision GNN Hashing
UGCC: Social Media User Geolocation via Cyclic Coupling
Who are the Best Adopters? User Selection Model for Free Trial Item Promotion
Denoising Neural Relation Extraction for Spatio-Temporal Recommendation System
A Survey on Truth Discovery: Concepts, Methods, Applications, and Opportunities
SRGTNet: Subregion-Guided Transformer Hash Network for Fine-Grained Image Retrieval
Graph Contrastive Learning for Clustering of Multi-Layer Networks
Finding and Tracking Multi-Density Clusters in Online Dynamic Data Streams
A Multi-Modal Hypergraph Neural Network via Parametric Filtering and Feature Sampling
Graph-Enhanced Multi-Scale Contrastive Learning for Graph Anomaly Detection With Adaptive Diffusion Models
A Distributed Generative Adversarial Network for Data Augmentation Under Vertical Federated Learning
AugGPT: Leveraging ChatGPT for Text Data Augmentation
Overlapping Community Change-Point Detection in an Evolving Network
Optimizing Keyword Search Over Federated RDF Systems
Spatio-Temporal Transformer Network for Weather Forecasting
Graph Data Model and Graph Query Language Based on the Monadic Second-Order Logic
Kira: Processing Astronomy Imagery Using Big Data Technology
A Meta Path Based Method for Entity Set Expansion in Knowledge Graph
Graph Structure Aware Contrastive Multi-View Clustering
Collaborative Framework for circRNA-Disease Associations Prediction Using Dual Variational Graph
Privacy-Preserving Data Encryption Strategy for Big Data in Mobile Cloud Computing
A Knowledge-Guided Event-Relation Graph Learning Network for Patient Similarity With Chinese Electronic Medical Records
Sampling Big Trajectory Data for Traversal Trajectory Aggregate Query
A Multi-Order Distributed HOSVD with Its Incremental Computing for Big Services in Cyber-Physical-Social Systems
BiLSTM-SSVM: Training the BiLSTM with a Structured Hinge Loss for Named-Entity Recognition
FRC-GIF: Frame Ranking-Based Personalized Artistic Media Generation Method for Resource Constrained Devices
Nonparametric Distributed Learning Architecture for Big Data: Algorithm and Applications
Efficient Graph Processing with Invalid Update Filtration
Efficient Forward and Backward Private Conjunctive Searchable Encryption With Comprehensive Verification
Unified Representation Learning for Discrete Attribute Enhanced Completely Cold-Start Recommendation
HGN2T: A Simple but Plug-and-Play Framework Extending HGNNs on Heterogeneous Temporal Graphs
Partial Copy Detection in Videos: A Benchmark and an Evaluation of Popular Methods
Clustering Big Spatiotemporal-Interval Data
Cornac: Tackling Huge Graph Visualization with Big Data Infrastructure
Graph Regularized EEG Source Imaging with In-Class Consistency and Out-Class Discrimination
Significant Linear Hotspot Discovery
Special Issue on Wireless Big Data
Robustness Benchmarking of Convolutional and Transformer Architectures for Image Classification
Scalable Uncertainty-Aware Truth Discovery in Big Data Social Sensing Applications for Cyber-Physical Systems
An Enhanced and Robust Data Publishing Scheme for Private and Useful 1:M Microdata
CaL: Extending Data Locality to Consider Concurrency for Performance Optimization
A Situational Analytic Method for User Behavior Pattern in Multimedia Social Networks
Urban Anomaly Analytics: Description, Detection, and Prediction
A Large-Scale Study of Android Malware Development Phenomenon on Public Malware Submission and Scanning Platform
Deep Residual Coupled Prompt Learning for Zero-Shot Sketch-Based Image Retrieval
Self-Supervised Nodes-Hyperedges Embedding for Heterogeneous Information Network Learning
Accelerating Vertical Federated Learning
Harnessing the Power of Local Supervision in Federated Learning
A Bilinear Ranking SVM for Knowledge Based Relation Prediction and Classification
RoD: Evaluating the Risk of Data Disclosure Using Noise Estimation for Differential Privacy
ATrie Group Join: A Parallel Star Group Join and Aggregation for In-Memory Column-Stores
Hierarchical Multi-Relational Graph Representation Learning for Large-Scale Prediction of Drug-Drug Interactions
STaRS: Simulating Taxi Ride Sharing at Scale
CityLines: Designing Hybrid Hub-and-Spoke Transit System with Urban Big Data
Online Heterogeneous Streaming Feature Selection Without Feature Type Information
Transfer to Rank for Top-N Recommendation
A Scalable Algorithm for Large-Scale Unsupervised Multi-View Partial Least Squares
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated Learning
Visual Analysis of Multiple Route Choices Based on General GPS Trajectories
A Stack-Centric Processing Model for Iterative Processing
Cross-Modality and Equity-Aware Graph Pooling Fusion: A Bike Mobility Prediction Study
Privacy-Preserving Public Release of Datasets for Support Vector Machine Classification
Parallel Overlapping Community Detection Algorithm on GPU
Learning From Crowds Using Graph Neural Networks With Attention Mechanism
Scalable Triangle Discovery Algorithm for Large Scale-Free Network with Limited Internal Memory
Thermal-Aware and DVFS-Enabled Big Data Task Scheduling for Data Centers
Convolutional Neural Networks for Spectroscopic Redshift Estimation on Euclid Data
A Comprehensive Trustworthy Data Collection Approach in Sensor-Cloud Systems
WTDP-Shapley: Efficient and Effective Incentive Mechanism in Federated Learning for Intelligent Safety Inspection
LightST: A Simplifying Spatio-Temporal Graph Neural Network for Traffic Flow Forecasting
Massive Streaming PMU Data Modelling and Analytics in Smart Grid State Evaluation based on Multiple High-Dimensional Covariance Test
Cloud Approach to Automated Crop Classification Using Sentinel-1 Imagery
A Time Series Mining Approach for Agricultural Area Detection
A Federated Convolution Transformer for Fake News Detection
Analysis of Knowledge Sharing Activities on a Social Network Incorporated Discussion Forum: A Case Study of DISboards
Temporal Causal Modelling on Large Volume Enterprise Data
GAT-COBO: Cost-Sensitive Graph Neural Network for Telecom Fraud Detection
Defending Batch-Level Label Inference and Replacement Attacks in Vertical Federated Learning
Heterogeneous Daily Living Activity Learning Through Domain Invariant Feature Subspace
Learning Causal Chain Graph Structure via Alternate Learning and Double Pruning
Adaptive Superpixel Segmentation With Non-Uniform Seed Initialization
Visual Analysis of Multidimensional Big Data: A Scalable Lightweight Bundling Method for Parallel Coordinates
Representation and Reinforcement Learning for Task Scheduling in Edge Computing
Noiseless Privacy: Definition, Guarantees, and Applications
Attribute-Based Storage Supporting Secure Deduplication of Encrypted Data in Cloud
Epidemic Spread Modeling for COVID-19 Using Cross-Fertilization of Mobility Data
Relational Clustering-Based Parallel Spaces Construction and Embedding for Dynamic Knowledge Graph
Big Data Analysis-Based Security Situational Awareness for Smart Grid
A Distributed Stream Library for Java 8
Weak Multi-Label Data Stream Classification Under Distribution Changes in Labels
Many Hands Make Light Work: Group Influence Maximization in Evolving Social Networks
Heterogeneous Architectures for Big Data Batch Processing in MapReduce Paradigm
Split Learning on Segmented Healthcare Data
DucDiff: Dual-Consistent Diffusion for Uncertainty-Aware Information Diffusion Prediction
NAGphormer+: A Tokenized Graph Transformer With Neighborhood Augmentation for Node Classification in Large Graphs
Metagraph-Based Life Pattern Clustering With Big Human Mobility Data
Guest Editorial: Big Media Data: Understanding, Search, and Mining (Part 2)
Guest Editorial: Special Issue on Network Structural Modeling and Learning in Big Data
Data-Free Knowledge Filtering and Distillation in Federated Learning
MWBS: An Efficient Many-to-Many Wireless Big Data Delivery Scheme
Achieving Efficient and Privacy-Preserving Cross-Domain Big Data Deduplication in Cloud
Distilling Fair Representations From Fair Teachers
Welcome to the IEEE Transactions on Big Data
Big Data Processing Workflows Oriented Real-Time Scheduling Algorithm using Task-Duplication in Geo-Distributed Clouds
GE-GNN: Gated Edge-Augmented Graph Neural Network for Fraud Detection
LGRL: Local-Global Representation Learning for On-the-Fly FG-SBIR
Large Language Model-Informed ECG Dual Attention Network for Heart Failure Risk Prediction
Restoration of Recaptured Screen Images With a Divide and Conquer Strategy
Dynamics of Public Opinions in an Online and Offline Social Network
Frequent Subgraph Mining Algorithms in Static and Temporal Graph-Transaction Settings: A Survey
A Data-driven Approach to Harvesting Latent Reduced Models to Precondition Lossy Compression for Scientific Data
Supervised Discrete Multiple-Length Hashing for Image Retrieval
Editorial High-Performance Recommender Systems Based on Spatiotemporal Data
Algorithms of Unconstrained Non-Negative Latent Factor Analysis for Recommender Systems
Embracing Information Explosion without Choking: Clustering and Labeling in Microblogging
Digital Twin Data Management: A Comprehensive Review
Visual Exploration of Changes in Passenger Flows and Tweets on Mega-City Metro Network
Cost-Aware Triangle Counting Over Geo-Distributed Datacenters
Knowledge Aggregation Transformer Network for Multivariate Time Series Classification
Fast and Positive Definite Estimation of Large Covariance Matrix for High-Dimensional Data Analysis
Efficient and Tractable Conflict Detection in Knowledge Graphs via Path Analysis
Community Detection Based on Multiobjective Particle Swarm Optimization and Graph Attention Variational Autoencoder
Exploiting Deep Features for Remote Sensing Image Retrieval: A Systematic Investigation
Guest Editorial: Big Data Infrastructure I
3D Terrain Multiobjective Deployment Optimization of Heterogeneous Directional Sensor Networks in Security Monitoring
MSST: Multi-Scale Spatial-Temporal Representation Learning for Trajectory Similarity Computation
HDM: A Composable Framework for Big Data Processing
SGAMF: Sparse Gated Attention-Based Multimodal Fusion Method for Fake News Detection
Active and Semi-Supervised Graph Neural Networks for Graph Classification
CTDI: CNN-Transformer-Based Spatial-Temporal Missing Air Pollution Data Imputation
Physical Black-Box Adversarial Attacks Through Transformations
Self-Consistent Graph Neural Networks for Semi-Supervised Node Classification
Accurate Network Alignment via Consistency in Node Evolution
Multi-Modal Entity in One Word: Aligning Multi-Level Semantics for Multi-Modal Knowledge Graph Completion