活动简介

We solicit high-quality original research papers (including significant work-in-progress) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity) relevant to variety of data (scientific and engineering, social, sensor/IoT/IoE, and multimedia-audio, video, image, etc) that contribute to the Big Data challenges.

征稿信息

重要日期

2016-09-18
初稿录用日期

征稿范围

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 andArchitectures 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 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

 

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

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重要日期
  • 会议日期

    12月05日

    2016

    12月08日

    2016

  • 09月18日 2016

    初稿录用通知日期

  • 12月08日 2016

    注册截止日期

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