会议信息
ICBDA' 2020: IEEE Conference on Big Data & Analytics
https://ieeecomputer.my/icbda2020/
截稿日期:
2020-07-31 Extended
通知日期:
2020-08-31
会议日期:
2020-11-17
会议地点:
Kota Kinabalu, Sabah, Malaysia
浏览: 9136   关注: 1   参加: 0

征稿
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
最后更新 Dou Sun 在 2020-07-04
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