ICBDA' 2020 (IEEE Conference on Big Data & Analytics) is an academic conference held in Kota Kinabalu, Sabah, Malaysia on 2020-11-17. The paper submission deadline is 2020-07-31 (extended). Acceptance notifications are sent on 2020-08-31.
Example topics of interest includes but is not limited to the following:
Big Data Science and Foundations
Novel Theoretical Models for Big Data
New Computational Models for Big Data
Data and Information Quality for Big Data
New Data Standards
Big Data Infrastructure
Cloud/Grid/Stream Computing for Big Data
High Performance/Parallel Computing Platforms for Big Data
Autonomic Computing and Cyber-infrastructure, System Architectures, Design and Deployment
Energy-efficient Computing for Big Data
Programming Models and Environments for Cluster, Cloud, and Grid Computing to Support Big Data
Software Techniques and Architectures in Cloud/Grid/Stream Computing
Big Data Open Platforms
New Programming Models for Big Data beyond Hadoop/MapReduce, STORM
Software Systems to Support Big Data Computing
Big Data Management
Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data
Algorithms and Systems for Big DataSearch
Distributed, and Peer-to-peer Search
Big Data Search Architectures, Scalability and Efficiency
Data Acquisition, Integration, Cleaning, and Best Practices
Visualization Analytics for Big Data
Computational Modeling and Data Integration
Large-scale Recommendation Systems and Social Media Systems
Cloud/Grid/Stream Data Mining- Big Velocity Data
Link and Graph Mining
Semantic-based Data Mining and Data Pre-processing
Mobility and Big Data
Multimedia and Multi-structured Data- Big Variety Data
Big Data Search and Mining
Social Web Search and Mining
Web Search
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Big Data Search Architectures, Scalability and Efficiency
Data Acquisition, Integration, Cleaning, and Best Practices
Visualization Analytics for Big Data
Computational Modeling and Data Integration
Large-scale Recommendation Systems and Social Media Systems
Cloud/Grid/StreamData Mining- Big Velocity Data
Link and Graph Mining
Semantic-based Data Mining and Data Pre-processing
Mobility and Big Data
Multimedia and Multi-structured Data- Big Variety Data
Big Data Security, Privacy and Trust
Intrusion Detection for Gigabit Networks
Anomaly and APT Detection in Very Large Scale Systems
High Performance Cryptography
Visualizing Large Scale Security Data
Threat Detection using Big Data Analytics
Privacy Threats of Big Data
Privacy Preserving Big Data Collection/Analytics
HCI Challenges for Big Data Security & Privacy
User Studies for any of the above
Sociological Aspects of Big Data Privacy
Trust management in IoT and other Big Data Systems
Big Data Applications
Complex Big Data Applications in Science, Engineering, Medicine, Healthcare, Finance, Business, Law, Education, Transportation, Retailing, Telecommunication
Big Data Analytics in Small Business Enterprises (SMEs),
Big Data Analytics in Government, Public Sector and Society in General
Real-life Case Studies of Value Creation through Big Data Analytics
Big Data as a Service
Big Data Industry Standards
Experiences with Big Data Project Deployments
Big Data Models and Algorithms
Foundational Models for Big Data
Algorithms and Programming Techniques for Big Data Processing
Big Data Analytics and Metrics
Big Data Architectures
Cloud Computing Techniques for Big Data
Big Data as a Service
Big Data Open Platforms
Big Data Management
Big Data Persistence and Preservation
Big Data Quality and Provenance Control
Big Data Storage and Retrieval
Big Data Security and Privacy
Big Data System Security and Integrity
Big Data Information Security
Privacy Preserving Big Data Analytics
Usable Security and Privacy for Big Data
Quality of Big Data Services
Business Intelligence
Technologies and Platforms
Emerging hardware and software for data analytics
Infrastructure and Portals
Authoring and Content Management Tools
Data Analytics Models
e-business and New Media
Delivery and Ethical Issues in Data Analytics
Future Trends and Issues Data Analytics
Data Mining
Infrastructure, Architecture and Tools
Applications in Data Mining
Innovative Models in Data Mining
Statistics and Algorithms
Future Trends and Issues in Data Mining
Machine Learning
Data Visualization
Issues/opportunities in Big Data
Architecture and Technologies
Trends in Data Visualization
Data Visualization Applications
Manufacturing and Cyber-physical models
Industrial Practice, ethics and governance
Big Data Service Performance Evaluation
Big Data Service Reliability and Availability
Real-Time Big Data Services
Big Data Search, Mining, and Visualization
Algorithms and Systems for Big Data Search
Distributed, and Peer-to-peer Search
Machine learning based on Big Data
Visualization Analytics for Big Data
Big Data Applications
Big Data for Enterprise, Government, and Society
Case Studies of Big Data Value Creation
Big Data for Science and Engineering Research
Enabling Resources for Big Data Research
Big Data Sets
Big Data Application Benchmarks
Survey of big data research papers and/or big data sets
Special Track on Real-Time Big Data Analytics
Techniques and Algorithms for Real-Time Big Data Analytics
Applications and Evaluation of Real-Time Big Data Systems
Special Track on Big Data/Smart Cities
Big Data for Improving Resilient Infrastructures
Big Data Applications such as Healthcare and Transportation
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