Conference Information
BigData 2019: International Conference on Big Data
http://cci.drexel.edu/bigdata/bigdata2019/index.html
Submission Date:
2019-08-19
Notification Date:
2019-10-16
Conference Date:
2019-12-09
Location:
Los Angeles, California, USA
Years:
7
CCF: c   Viewed: 13171   Tracked: 53   Attend: 17

Conference Location
Advertisment
Call For Papers
In recent years, “Big Data” has become a new ubiquitous term. Big Data is transforming science, engineering, medicine, healthcare, finance, business, and ultimately our society itself. The IEEE Big Data conference series started in 2013 has established itself as the top tier research conference in Big Data.

    The first conference IEEE Big Data 2013 had more than 400 registered participants from 40 countries ( http://cci.drexel.edu/bigdata/bigdata2013/) and the regular paper acceptance rate is 17.0%.
    The IEEE Big Data 2017 ( http://cci.drexel.edu/bigdata/bigdata2017/  , regular paper acceptance rate: 17.8%) was held in Boston, MA, Dec 11-14, 2017 with close to 1000 registered participants from 50 countries.
    The IEEE Big Data 2018 ( http://cci.drexel.edu/bigdata/bigdata2018/  , regular paper acceptance rate: 19.7%) was held in Seattle, WA, Dec 10-13, 2018 with close to 1100 registered participants from 47 countries.

The 2019 IEEE International Conference on Big Data (IEEE BigData 2019) will continue the success of the previous IEEE Big Data conferences. It will provide a leading forum for disseminating the latest results in Big Data Research, Development, and Applications.

We solicit high-quality original research papers (and significant work-in-progress papers) in any aspect of Big Data with emphasis on 5Vs (Volume, Velocity, Variety, Value and Veracity), including the Big Data challenges in scientific and engineering, social, sensor/IoT/IoE, and multimedia (audio, video, image, etc.) big data systems and applications. The conference adopts single-blind review policy. We expect to have a very high quality and exciting technical program at Los Angeles this year.

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

INDUSTRIAL Track

The Industrial Track solicits papers describing implementations of Big Data solutions relevant to industrial settings. The focus of industry track is on papers that address the practical, applied, or pragmatic or new research challenge issues related to the use of Big Data in industry. We accept full papers (up to 10 pages) and extended abstracts (2-4 pages).

Student Travel Award

IEEE Big Data 2019 will offer student travel to student authors (including post-docs)
Last updated by Dou Sun in 2019-03-30
Related Conferences
CCFCOREQUALISShortFull NameSubmissionNotificationConference
ccNSPWNew Security Paradigms Workshop2016-04-292016-06-172016-09-26
ruSMARTConference on Internet of Things and Smart Spaces2018-05-202018-06-152018-08-29
CIInternational Conference on Computational Intelligence2014-12-122015-01-052015-02-16
MCNAInternational Symposium on Multimedia Computing, Networking and Applications2019-07-202019-08-252019-10-22
SPDAInternational Conference on Smart Phone, Device and Applications2014-06-102014-06-302014-08-14
DSCIIEEE International Conference on Data Science and Computational Intelligence2019-07-312019-08-252019-10-21
ICMMAPInternational Conference on Mechanic,Mathematics and Applied Physics2017-11-202017-11-202017-11-24
cDSAAInternational Conference on Data Science and Advanced Analytics2019-05-202019-07-252019-10-05
ASRUIEEE Automatic Speech Recognition and Understanding Workshop2017-07-062017-08-312017-12-16
ICCMSInternational Conference on Communication and Media Studies2018-06-15 2018-08-11
Related Journals
CCFFull NameImpact FactorPublisherISSN
Human-centric Computing and Information Sciences Springer2192-1962
Big Data Research ELSEVIER2214-5796
ACM SIGMIS Database ACM0095-0033
cIEEE Signal Processing Letters2.813IEEE1070-9908
Crisis Communications Springer2194-9794
International Journal of Digital Multimedia BroadcastingHindawi1687-7578
Cognitive Processing1.410Springer1612-4782
Journal of Applied Mathematics0.834Hindawi1110-757X
ACM Transactions on Management Information SystemsACM2158-656X
Design Studies2.133ELSEVIER0142-694X
Recommendation