View source for IEEE BigData 2020

{{Event
|Acronym=IEEE BigData 2020
|Title=IEEE International Conference on Big Data
|Series=IEEE BigData
|Type=Conference
|Start date=2020/12/10
|End date=2020/12/13
|Submission deadline=2020/08/19
|Homepage=http://bigdataieee.org/BigData2020/
|City=Atlanta
|State=Gorgia
|Country=Online
|Paper deadline=2020/08/19
|Notification=2020/10/16
|Camera ready=2020/11/10
|Submitting link=https://wi-lab.com/cyberchair/2020/bigdata20/scripts/submit.php?subarea=BigD
|Has coordinator=Yubao Wu
|has general chair=Srinivas Aluru, Chengxiang Zhai
|has program chair=Chris Jermaine, Xintao Wu, Li Xiong
}}
* Example topics of interest includes but is not limited to the following:
* 1. 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
* 
* 2. 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
* 
* 3. 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
* 
* 4. 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
* 
* 5. Ethics, Privacy and Trust in Big Data Systems
* Techniques and models for fairness and diversity
* Experimental studies of fairness, diversity, accountability, and transparency
* Techniques and models for transparency and interpretability
* Trade-offs between transparency and privacy
* 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 Preserving Big Data Collection/Analytics
* HCI Challenges for Big Data Security & Privacy
* Trust management in IoT and other Big Data Systems
* 
* 6. Hardware/OS Acceleration for Big Data
* FPGA/CGRA/GPU accelerators for Big Data applications
* Operating system support and runtimes for hardware accelerators
* Programming models and platforms for accelerators
* Domain-specific and heterogeneous architectures
* Novel system organizations and designs
* Computation in memory/storage/network
* Persistent, non-volatile and emerging memory for Big Data
* Operating system support for high-performance network architectures
* 
* 7. 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
*
Acronym	IEEE BigData 2020 +
Camera ready due	November 10, 2020 +
End date	December 13, 2020 +
Event in series	IEEE BigData +
Event type	Conference +
Has Submitting link	https://wi-lab.com/cyberchair/2020/bigdata20/scripts/submit.php?subarea=BigD +
Has coordinator	Yubao Wu +
Has general chair	Srinivas Aluru + and Chengxiang Zhai +
Has location city	Atlanta +
Has location country	Category:Online +
Has location state	Gorgia +
Has program chair	Chris Jermaine +, Xintao Wu + and Li Xiong +
Homepage	http://bigdataieee.org/BigData2020/ +
IsA	Event +
Notification	October 16, 2020 +
Paper deadline	August 19, 2020 +
Start date	December 10, 2020 +
Submission deadline	August 19, 2020 +
Title	IEEE International Conference on Big Data +