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Smart data aims to filter out the 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 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 structure from retrieved data and further acquiring smart data.

The 9th IEEE International Conference on Smart Data (SmartData-2023) is to promote community-wide discussion identifying the computational intelligence 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 on all aspects of smart data.

TOPICS:
Topics of interest 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, Drilling
  • Machine Learning/Deep Learning
  • Brain/Nature-Inspired Computing
  • Secure/Privacy-Preserving/Differentially Private Computing
  • Visualization Analytics for Smart/Big Data

Track 5: Smart/Big Data Applications

  • Parallel Computing for Big Data
  • Smart/Big Data Applications in All Fields
  • Data as a Service (DaaS)
  • Smart/Big Data Opening, Sharing, and Trading
  • Ethic Issues in Big/ Smart Data

Track 6：Smart/Big Data in Internet of Things (IoT)

  • Network Design, Scheduling and Optimization for Smart/Big Data in IoT
  • Age of Information for Data Collection and Analytics in IoT
  • Learning-based Decision-making with Smart/Big Data in IoT
  • Mobile Data Collection, Transmission and Analytics in IoT
  • Smart/Big Data in Blockchain-based IoT Systems
  • Smart/Big Data for Industrial IoT
  • New Models, Algorithms and Methods for Smart City with Smart/Big Data



SUBMISSION AND PUBLICATION
Paper Submission
Paper submissions must be made electronically through the conference submission website (EDAS) using the following link: https://edas.info/N31470. The accepted format for submissions is PDF. For main conference papers, the page limit is 8 pages for regular papers and 6 pages for short papers, both following the IEEE proceedings format. Poster papers should be between 2 to 4 pages in length.

Paper Publication
Accepted paper will be published by Conference Publishing Service (CPS) and will be submitted for indexing to EI (Compendex). 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. Authors of some outstanding papers will receive invitations to submit revised and extended versions of their work. These submissions will be considered for potential publication in special issues of prestigious journals such as IEEE Network (IF: 10.294), Information Sciences (IF: 8.233), Information Fusion (IF: 17.564), Future Generation Computer Systems (IF: 7.307), Software: Practice and Experience (IF: 3.602), Tsinghua Science and Technology (IF: 3.515), among others.