2022 IEEE International Conference on Big Data (IEEE BigData 2022)
http://bigdataieee.org/BigData2022/
December 17-20, 2022
IEEE BigData 2022 – Osaka, Japan
(may move to hybrid or online depending on the pandemic situation by then)
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 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 IEEE Big Data 2020 ( http://bigdataieee.org/BigData2020/ , regular paper acceptance rate: 15.7%) was held online, Dec 10-13, 2020 with close to 1100 registered participants from 50 countries.
- The IEEE Big Data 2021 ( http://bigdataieee.org/BigData2021/ , regular paper acceptance rate: 19.9%) was held online, Dec 15-18, 2021 with close to 1089 registered participants from 52 countries
The 2022 IEEE International Conference on Big Data (IEEE BigData 2022) 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 Osaka, Japan 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. Big Data Learning and Analytics
Predictive analytics on Big Data Machine learning algorithms for Big Data Deep learning for Big Data Feature representation learning for Big Data Dimension redution for Big Data Physics informed Big Data learning
6. Data Ecosystem
Data ecosystem concepts, theory, structure, and processEcosystem services and managementMethods for data exchange, monetization, and pricingTrust, resilience, privacy, and security issuesPrivacy preserving Big Data collection/analyticsTrust management in Big Data systemsEcosystem assessment, valuation, and sustainabilityExperimental studies of fairness, diversity, accountability, and transparency
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 & Government 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).
Industrial Track welcomes papers on practical, applied research, or new research agendas related to the use of big data in the industry. For example, big data utilization cases and analysis cases in marketing, healthcare, finance, manufacturing, transportation, communication fields, etc., construction of analysis platforms, big data utilization processes in companies, problems and solutions specific to each data industry, analysis We welcome papers on automation, data standardization measures, and operational security and privacy. We are also looking for papers related to the utilization of big data in other industries.
The Government Track welcomes papers discussing the usefulness and need for publicly-contribution big data and open data and their use. Specifically, data utilization scenarios, needs analysis, data utilization obstacle analysis and solutions, data integration processes, interfaces as data utilization solutions, visualization, use cases, evidence-based policy making, building an ecosystem for solving social issues, analyzing their cases, comparing international and regional differences, and conducting comparative surveys before and after specific events (like Covid-19). We are also looking for other big data solutions related to national and local governments, and public services.
Please submit an extended abstract (2-4 pages) OR a full-length paper (up to 10 pages) through the online submission page (Industrial & Government Track dedicated page).
Japan has opened its border to allow foreigners to visit Japan, IEEE BigData 2022 has hired a Japanese company to assist all participants from over the world to get a visa to enter Japan for the conference. The visa application process is very smooth and detailed information is already posted in the conference website.
Electronic submission of full papers: Sept 3, 2022 Notification of paper acceptance: Oct 25, 2022 Camera-ready of accepted papers: Nov 15, 2022 Conference: Dec 17-20, 2022
FAQs
The IEEE Big Data 2022 ( http://bigdataieee.org/BigData2022/ , regular paper acceptance rate: 19.2%) was held in Osaka, Japan, Dec 17-20, 2022 with close to 1250 registered participants from 54 countries.
Is IEEE Big Data a good conference? ›
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.
What is the impact factor of IEEE International Conference on Big Data? ›
IEEE BigData 2024: IEEE International Conference on Big Data
| Full Name | Impact Factor | ISSN |
|---|
| Big Data Research | 3.578 | 2214-5796 |
| BioData Mining | 2.522 | 1756-0381 |
| Scientific Data | | 2052-4463 |
| ACM SIGMIS Database | | 0095-0033 |
6 more rowsJan 7, 2024
Big data is much more than just data bits and bytes on one side and processing on the other. It entails collecting, storing, processing, and analyzing immense quantities of data that is diverse in structure in order to produce insights that are actionable and value-added.
Is IEEE paper prestigious? ›
IEEE is a trusted source for researchers in academia, industry, and government. By publishing with IEEE, you will get the global prestige that high-quality research deserves.
What is the acceptance rate for the IEEE conference? ›
2020 Acceptance Rates
| Conference | Regular/Full Papers | Rate |
|---|
| ICWS | 58 | 18.10% |
| SCC | 41 | 21.80% |
| SMDS | 11 | 21.20% |
| Totals | 181 | 22.26% |
3 more rowsWelcome to IEEE CASE 08! This year, 291 papers were submitted to the conference, and 170 papers were accepted after a rigorous peer review process (acceptance rate 58.4%).
How credible is IEEE? ›
Trusted Content
IEEE is recognized as a global leader in electrical engineering and related fields, publishing many of the top cited journals in electrical and electronic engineering based on journal impact factor.
What is the top margin for IEEE conference? ›
| US Letter | A4 |
|---|
| Top Margin | 0.75 inch | 19 mm |
| Bottom Margin | 1 inch | 43 mm |
| Side Margins | 0.625 inch | 13 mm |
IEEE Access was included in the 2022 Journal Citation Report (JCR) and received: an impact factor of 3.9 *Impact factor = citations in 2022 to articles published in 2020 and 2021/articles published in 2020 and 2021.
Scope of IEEE Transactions on Big Data
Applications of big data in the fields of endeavor where massive data is generated are of particular interest. TBD's 2022 impact factor is 7.2.
What is the impact factor of IEEE Communications? ›
IEEE Communications Magazine
| Publication details |
|---|
| Publisher | IEEE Communications Society |
| Frequency | Monthly |
| Impact factor | 11.05 (2019) |
| Standard abbreviations ISO 4 (alt) · Bluebook (alt1 · alt2) NLM (alt) · MathSciNet (alt ) |
8 more rowsBig 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.
What is the acceptance rate for IEEE big data? ›
・The IEEE Big Data 2022 ( http://bigdataieee.org/BigData2022/ , regular paper acceptance rate: 19.2%) was held in Osaka, Japan, Dec 17-20, 2022 with close to 1250 registered participants from 54 countries.
Why is IEEE so important? ›
IEEE is the world's largest technical professional organization dedicated to advancing technology for the benefit of humanity. IEEE and its members inspire a global community through its highly cited publications, conferences, technology standards, and professional and educational activities.
What is the acceptance ratio for IEEE? ›
Although IEEE Access has an expedited peer review process, all article submissions still undergo a thorough and rigorous peer review process. IEEE Access has an average acceptance rate of 30%, which is comparable to traditional IEEE journals.
What is acceptance rate of IEEE S&P 2022? ›
88.4% (92 out of 104) were accepted for publication. The total number of papers presented at the 2022 Symposium is 147, which are included in these proceedings. The acceptance rate of the symposium is 14.5%, which is slightly higher compared to the acceptance rate of the conference in the last 10 years.
What is the acceptance rate for the IEEE case? ›
Welcome to IEEE CASE 08! This year, 291 papers were submitted to the conference, and 170 papers were accepted after a rigorous peer review process (acceptance rate 58.4%).
What is the acceptance rate of IEEE ICC 2022? ›
After a rigorous review process, 962 papers were accepted, thus yielding an acceptance rate of 38.03%.
