SmartData 2024 : 10th IEEE International Conference on Smart Data

The 10th IEEE International Conference on Smart Data (SmartData-2024) is held in Copenhagen, Denmark, August 19-22, 2024. 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 10th IEEE International Conference on Smart Data (SmartData-2024) 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 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