ETRI-Knowledge Sharing Plaform

Approximate Query Processing Labeling Scheme Prime Number Labeling Real-World Big Data Platform Dual-Mode Generative Adversarial Network Trajectory Data Arithmetic Operations Generative Models Optimization Techniques(OT) Distributed Environment Large Data Sets Knowledge Graph Big Data Analytics(BDA) Parallel Algorithm Machine Learning Models Extensible Markup Language(XML) Sql-On-Hadoop Harmful Algal Blooms Reachability Query Existing Approaches Xml Data Bloom Prediction Data Forecasting Distributed System(DS) Environmental Data Memory Requirements Monitoring Data Negative Effects Olap Query Processing Response Time Processing Speed Relational Data Services Sharing Trajectory Generation Data Labeling Data Structure Filtering Technique Effective Model Higher-Order Partial Least Squares Life Cycle Label Assignment Latent Feature Network Overhead Semantic Annotation Two-Step Time Series Data Time-Bound Bloom Filter Database Systems Data Preparation General Framework Internet Of Thing(IoT) Input Data Learning Process Large-Scale Data Processing Multiple Attribute Missing Data New Approach Sensor Data Tensor Completion Topic-Based Transfer Learning Water Quality Monitoring Xml Labeling Materialized Views Query Workload Transformation Rules Aggregation Query Blank Nodes Based System Division Operation Forecasting Performance Interactive Latency Multiple Datasets Over Time Processing Engine(PE) Spatio-Temporal Time-Varying Chlorophyll-A Concentration Data Integration Design Considerations Experimental Comparison Learning Technology Processing Method Probabilistic Models Performance Degradation Rdf Triples Similarity-Based Social Services Synthetic Data TPC-H Feature Extraction Heterogeneous Data Sources Batch Query Cluster-Based Exploratory Data Analysis Hadoop System Image Change Detection Low Latency Labeling Algorithm Space Requirements Topic Modeling Interactive Analytics Distributed Processing Data Augmentation Directed Acyclic Graphs Data Exploration Generation Model Information Retrieval System Modeling Techniques Machine Learning Technologies Negative Impact Parallel Approach Processing Performance Query Transformation Privacy-Preserving Single Machine Tabular Data Join Processing Based Filtering Detection Techniques Improved Performance Input Features Language Representation Long Duration Optimization Methods Prediction Accuracy Parameter Sharing Resource Description Framework(RDF) Synthetic Trajectory Tree-Structured Data Trajectory Privacy Protection Partial Area