IEEE SmartData 2021

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 modelling and analytics are indispensable for discovering the underlying structures of retrieved data and further acquiring smart data.

IEEE SmartData-2021 will be held in December 2021, Melbourne, Australia. 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.

Conference Topics

Areas of interest for IEEE SmartData 2021 include but are not limited to:

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
• In-Memory/Streaming/Graph-Based Computing
• Brain/Nature-Inspired Computing
• Secure/Privacy-Preserving/Differentially Private Computing
• 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

Author Instructions

All papers need to be submitted electronically through the EDAS website with PDF format. Submitted papers must not substantially overlap with papers that have been published or that are simultaneously submitted to a journal or a conference with proceedings. Papers must be clearly presented in English, must not exceed 8 pages in IEEE Computer Society Proceedings Format (or up to 10 pages with the pages over length charge), including tables, figures, references and appendices. Papers will be selected based on their originality, significance, relevance, and clarity of presentation assessed by at least three reviewers.

Submission of a paper should be regarded as a commitment that, should the paper be accepted, at least one of the authors will register and attend the conference to present the work. IEEE SmartData 2021 reserves the right to exclude a paper from distribution after the conference (e.g., removal from the digital library and indexing services), if the paper is not presented at the conference. All accepted papers will be published in IEEE CPS proceedings (EI Indexed) and collected by IEEE Xplore Digital Library. Two outstanding papers will be selected to receive the Best Paper Awards.