View source for IEEE BigData 2019

{{Event
|Acronym=IEEE BigData 2019
|Title=IEEE International Conference on Big Data
|Series=IEEE BigData
|Type=Conference
|Start date=2019/12/09
|End date=2019/12/12
|Homepage=http://bigdataieee.org/BigData2019/
|City=Los Angeles
|State=California
|Country=USA
|has general chair=Roger Barga, Carlo Zaniolo
|has Proceedings Link=https://ieeexplore.ieee.org/xpl/conhome/8986695/proceeding
}}
  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 a 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
*     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
*     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
*     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 2019 +
End date	December 12, 2019 +
Event in series	IEEE BigData +
Event type	Conference +
Has coordinates	34° 3' 13", -118° 14' 34"Latitude: 34.053691666667 Longitude: -118.24276666667 +
Has general chair	Roger Barga + and Carlo Zaniolo +
Has location city	Los Angeles +
Has location country	Category:USA +
Has location state	California +
Homepage	http://bigdataieee.org/BigData2019/ +
IsA	Event +
Start date	December 9, 2019 +
Title	IEEE International Conference on Big Data +