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