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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 modelling 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.

TOPICS:
Topics of interest include, but are not limited to the following:
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, Transmission
  - Data Integration, Cleaning, 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, Drilling
  - Machine Learning/Deep 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 Deployments
  - Ethic Issues in Big/ Smart Data

IMPORTANT DATES
Workshop Proposal:   March 01, 2022
Submission Deadline:   May 01, 2022
Author Notification:   June 10, 2022
Camera-ready Due:   June 25, 2022

SUBMISSION AND PUBLICATION
Paper Submission
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.

Paper Publication
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/.