Tracks

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