Big Data 2020 : IEEE International Conference on Big Data

  in Conferences   Posted on February 1, 2020

Conference Information

Submission Deadline Wednesday 19 Aug 2020 Proceedings indexed by :
Conference Dates Dec 13, 2020 - Dec 10, 2020
Conference Address Atlanta, United States
Conference & Submission Link http://bigdataieee.org/BigData2020/index.html
Conference Organizers : ( Deadline extended ? Click here to edit )

Conference Ranking & Metrics (This is a TOP Conference)

Guide2Research Overall Ranking: 103
Category Rankings
Machine Learning & Arti. Intelligence 33
Databases & Information Systems 22
Biomedical & Medical Informatics 3

Google Scholar H5-index:
33

Conference Call for Papers

IEEE Big Data 2020 Call for Papers

2020 IEEE International Conference on Big Data (IEEE BigData 2020)

http://bigdataieee.org/BigData2020/

December 10-13, 2020, Atlanta, GA, USA

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://bigdataieee.org/BigData2013/) and the regular paper acceptance rate is 17.0%.

The IEEE Big Data 2018 ( http://bigdataieee.org/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 IEEE Big Data 2019 ( http://bigdataieee.org/BigData2019/ , regular paper acceptance rate: 18.7%) was held in Los Angeles, CA, Dec 9-12, 2019 with close to 1200 registered participants from 54 countries.

The 2020 IEEE International Conference on Big Data (IEEE BigData 2020) 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 Atlanta 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 2020 will offer student travel to student authors (including post-docs)

Paper Submission

Please submit a full-length paper (up to 10 page IEEE 2-column format) through the online submission system.

Paper Submission Page

Papers should be formatted to IEEE Computer Society Proceedings Manuscript Formatting Guidelines (see link to \”formatting instructions\” below).

Formatting Instructions

8.5\” x 11\” (DOC, PDF)

LaTex Formatting Macros

Important Dates

Electronic submission of full papers: August 19, 2020

Notification of paper acceptance: Oct 16, 2020

Camera-ready of accepted papers: Nov 10, 2020

Conference: Dec 10-13, 2020

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