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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 6th IEEE International Conference on Smart Data (SmartData-2020) 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 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
  - 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
Special Session Proposal:   June 15, 2020
Paper submission:          July 15, 2020
Notification of acceptance:   August 15, 2020
Camera-ready version:      September 02, 2020

SUBMISSION AND PUBLICATION
Paper Submission
All papers need to be submitted electronically through the conference submission website (EDAS) in PDF format at https://edas.info/N27620. Each paper is limited to 8 pages (or 10 pages with over-length charge) for a main conference paper, 6 pages for a workshop paper, and 2-4 pages for a poster paper including figures and references using the IEEE Computer Society Proceedings manuscripts style (two columns, single-spaced, font size 10). You can access the IEEE Computer Society Proceedings Author Guidelines from the following link: https://www.ieee.org/conferences/publishing/templates.html.

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. Best paper awards will be presented at the conference. Selected high quality papers, after further extensions and revisions, will be nominated to publish at various special issues of SCI and EI journals.