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INTRODUCTION
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Smart data aims to filter out noise data and produce valuable data, which can be effectively used by enterprises and governments for planning, operation, monitoring, control, and intelligent decision making. Although an unprecedentedly large amount of sensory data can be collected with the advancement of the Cyber-Physical-Social systems, the key is to explore how big data can become smart data and offer intelligence. Advanced big data modeling and analytics are indispensable for discovering the underlying structures of retrieved data and further acquiring smart data.

IEEE SmartData-2022 will be held in August 2022, Espoo, Finland. It aims to promote community-wide discussions about identifying intelligent technologies and theories for harvesting smart data from big data. It will provide a high-profile, leading-edge forum for scientists, engineers, and researchers to discuss and exchange novel ideas, results, experiences, and work in process in all aspects of smart data.

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PROCEEDINGS & SPECIAL ISSUES
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All accepted papers will be submitted to IEEE Xplore and Engineering Index (EI).

Extended versions of selected excellent papers will be considered for publication in the following special issues of the journals. (confirmed)

1.IEEE Internet of Things Journal (IF: 9.471)
2.ACM Distributed Ledger Technologies: Research and Practice (ACM DLT)
3.Information Sciences (Elsevier) (IF: 6.795)
4.IEEE Network Magazine (TBD) (IF: 10.693)
5.Information Fusion (Elsevier) (TBD) (IF: 12.975)

*More special issues will be added later.

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Topics of interest include, but are not limited to
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Track 1: Data Science and Its Foundations
Foundational Theories for Data Science
Data Classification and Taxonomy
Data Metrics and Metrology
Data Inference for Smart/Big Data
Theoretical Models for Smart/Big Data
Track 2: Smart/Big Data Infrastructure and Systems
Cloud/Cluster/Fog/Edge Computing
Parallel Computing for Big Data
Open Source Big Data Systems
System Architecture and Infrastructure
Smart/Big Data Appliance
Track 3: Smart/Big Data Storage and Management
Data Collection, Transformation and Transmission
Data Integration, Cleaning and Storage
Data Query and Indexing Technologies
Distributed File/Database Systems
NewSQL/NoSQL for Smart/Big Data
Track 4: Smart/Big Data Processing and Analytics
Smart/Big Data Search, Mining, and Drilling
Machine Learning/Deep Learning/Graph Network/Meta Learning
In-Memory/Streaming/Graph-Based Computing
Brain/Nature-Inspired Computing
Secure/Privacy-Preserving/Differentially Private Computing
Federated Learning/Swarm Learning
New Models, Algorithms and Methods for Smart/Big Data Analytics
Visualization Analytics for Smart/Big Data
Track 5: Smart/Big Data Applications
Smart/Big Data Applications in All Fields
Data as a Service (DaaS)
Security, Privacy and Trust Applications in Smart/BigData
Smart/Big Data Opening, Sharing, and Trading
Practices and Experiences of Smart/ Big Data Project Deployment
Ethic Issues in Big/ Smart Data


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IMPORTANT DATES
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Regular/Workshop/Special Session/Work-in-Progress/Poster/Demo Papers:
Workshop Proposal: March 01, 2022
Paper Submission Deadline: May 01, 2022
Author Notification: June 10, 2022
Camera-ready Due: June 25, 2022
Conference Dates: August 22-25, 2022


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PAPER SUBMISSION
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Main conference papers are limited to 8 pages (regular paper), or 6 pages (short paper), and 2-4 pages for a poster paper following the IEEE proceedings format, and are to be submitted as PDF via the site: https://edas.info/N29463.


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PAPER PUBLICATION
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Accepted conference papers will be published by IEEE (IEEE-DL and EI indexed). At least one author of each accepted paper is required to register and present their work at the conference; otherwise the paper will not be included in the proceedings. Selected papers, after further extensions and revisions, will be recommended to special issues. More details at the conference website:http://www.ieee-cybermatics.org/2022/smartdata/.


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ORGANIZING COMMITTEES
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General Chairs
Anke Schmeink, RWTH Aachen University, Germany
Houbing Herbert Song, Embry-Riddle Aeronautical University, USA
Guido Dartmann, Trier University of Applied Sciences, Germany

Program Chairs
Yongxin Liu, Auburn University, USA
Lejla Begic Fazlic, Trier University of Applied Sciences, Germany
Yaliang Zhao, Henan University, China

Workshop Chairs
Yulin Hu, Wuhan University, China
Linglin Xia, Nanchang University, China

Steering Chairs
Laurence T. Yang (Chair), St Francis Xavier University, Canada
Zhikui Chen, Dalian University of Technology, China
Carson K. Leung, University of Manitoba, Canada

Publicity Chairs
Junyu Lu, Sichuan University, China
Jian Wang, University of Tennessee, USA
Leilei Yan, Soochow University, China

Web Chair
Jiawei Wang, St. Francis Xavier University, Canada


Contact: smartdata2022@163.com