Big Data Foundations
Foundational theoretical or computational models for big data
Programming models, theories, and algorithms for big data
Standards, protocols, and quality assurance for big data


Big Data Platforms and Technologies
Innovative, concurrent, and scalable big data platforms
Data indexing, cleaning, transformation, and curation technologies
Big data processing frameworks and technologies
Big data services and application development methods and tools
Big data quality evaluation and assurance technologies
Big data system reliability and availability
Open-source development and technology for big data
Big Data as a Service (BDaaS) platform and technologies


Big Data Analytics and Services
Algorithms and systems for big data search, analytics and visualization
Artificial Intelligence for big data and based on big data
Visualization analytics for big data
Knowledge extraction, discovery, analysis, presentation, and visualization


Big Data Applications and Experiences
Innovative big data applications and services in industries and domains healthcare, finance, insurance, transportation, agriculture, education, environment, multi-media, social networks,
urban planning, disaster management, security
Experiences and case studies of big data applications and services
Real-world and large-scale practices of big data

Intelligent Computing Methodologies and Applications
Evolutionary Computing and Learning
Genetic Algorithms
Swarm Intelligence and Optimization
Independent Component Analysis
Blind Source Separation
Compressed Sensing and Sparse Coding
Natural Computing
Neural Networks
Signal Processing
Pattern Recognition
Biometrics Recognition
Image Processing
Information Security
Virtual Reality and Human-Computer Interaction
Business Intelligence and Multimedia Technology
Healthcare Informatics Theory and Methods
Unsupervised Learning
Reinforcement Learning
Machine Learning

User Name : Amy
Posted 13-01-2021 on 20:09:10 AEDT

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CBDA 2021   2nd International Conference on Big Data