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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
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Intelligent Computing
Methodologies and Applications
High-performance computing
Evolutionary Computing and Learning
Genetic Algorithms
Natural Computing
Quantum Computing
Neural Networks
Fuzzy Theory and Algorithms
Pervasive/Ubiquitous Computing
Machine Learning
Knowledge Discovery and Data Mining
Natural Language Processing
Computational Linguistics
Intelligent Computing in Robotics
Intelligent Computing in Computer Vision
Intelligent Computing in Communication Networks
Technical Committee
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