Call for Papers

Topics of Interest (Including but not limited to)

 Big Data Analytics and Machine Learning

• Algorithms and systems for big data search and analytics
• Machine learning for big data and based on big data
• Predictive analytics and simulation
• Visualization systems for big data
• Knowledge extraction, discovery, analysis, and presentation

 Integrated and Distributed Systems

• Sensor networks
• Internet of Things
• Networking and protocols
• Smart Systems (such as energy efficiency systems, smart homes, smart farms, etc.)

 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, dependability, and availability
• Open-source development and technology for big data
• Big Data as a Service (BDaaS) platform and technologies

 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 Applications and Experiences

• Innovative big data applications and services in industries and domains e.g. healthcare, finance, insurance, transportation, agriculture, education, environment, multimedia, 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

Particular attention will be dedicated to the following special topics:

 Special Topic 1: Real-time Big Data Services and Applications

• Models, algorithms, and technologies for real-time big data services and applications
• Experiences, practices and case studies of real-time big data services and applications

 Special Topic 2: Big Data Security, Privacy, Trust, and Sustainability

• Models, algorithms and technologies for big data security and privacy
• Attacks and defenses for big data services
• Privacy-preserving processing of big data and Big Data for Security and Privacy Analysis
• Energy-aware big data storage, transfer, and usage
• AI-continuum (e.g., cloud, edge, sensors) for sustainable big data services

 Special Topic 3: Big Data and Analytics for Healthcare

• Models, algorithms, and technologies of big data for healthcare
• Big data services and applications for healthcare
• Experiences, practices, and case studies of big data technologies for healthcareJun