Call for Papers| CFP Flyer.pdf

Honolulu, Hawaii USA/9-11 March, 2018


We solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor/IoT/IoE, and multimedia (audio, video, image, etc.) big data systems and applications. Example topics of interest includes but is not limited to the following:


Big Data:


Big Data Science and Foundations

Big Data Applications

Big Data Infrastructure

  • Novel Theoretical Models for Big Data
  • New Computational Models for Big Data
  • Data and Information Quality for Big Data
  • New Data Standards
  • 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
  • Novel Theoretical Models for Big Data
  • 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

    Big Data Search and Mining

    Big Data Security, Privacy and Trust

  • Search and Mining of variety of data including scientific and engineering, social, sensor/IoT/IoE, and multimedia data
  • 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/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
  • 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
  • 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
  • Education:

    E-education

    Education

  • e-Learning platforms
  • Portals and Virtual learning 
  • Partnerships in e-Learning
  • Systems, Design and Technologies
  • Evaluation of e-Learning
  • Cross-cultural 
  • e-Learning strategies
  • Social benefits of e-Learning
  • e-Learning effectiveness and outcomes 
    Web-based learning 
  • Academic participation and freedom
  • AV-communication and other media 
  • Digital classrooms 
  • Content repositories 
  • Collaborative on-line learning
  • Data envelopment analysis
  • Meta data standards 
  • Systems and technologies in e-education
  • Applications and integration of e-education
  • E-learning evaluation and content
  • Campus information systems
  • E-learning technologies, standards and systems
  • Mobile learning
  • Computer aided assessments
  • Multimedia in e-learning
  • Marketing and promoting e-learning
  • Social benefits of e-learning
  • Ault and Continuing Education
  • Biology Education
  • Elementary Education 
  • E-learning
  • ESL/TESL
  • Family Education
  • Graduate and Postgraduate School of Curriculum Instruction
  • Higher Education
  • Information and Communications Technology in Education
  • Information and Computer Education
  • Language and Creative Writing
  • Language Education 
  • Mathematics Education
  • Virtual learning environments
  • Organization learning
  • Technology adoption and diffusion of e-learning
  • Education Science
  • Blended learning 
  • Course design 
  • Emerging and best practices
  • Cross-cultural 
  • Security and confidentiality 
  • Self-learning integrated methodology 
  • Ambient intelligence 
  • Assertive and assistive educational technology
  • Learning content management systems 
  • Needs analysis
  • GET IN TOUCH

    Call us at +852-3500-0005 (Hong Kong) or  Contact us