Información de la conferencia
ICBDA' 2020: IEEE Conference on Big Data & Analytics
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Día de Entrega:
2020-07-31 Extended
Fecha de Notificación:
2020-08-31
Fecha de Conferencia:
2020-11-17
Ubicación:
Kota Kinabalu, Sabah, Malaysia
Vistas: 14150   Seguidores: 1   Asistentes: 0

Solicitud de Artículos
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
Última Actualización Por Dou Sun en 2020-07-04
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