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SC4EDS 2021 : Special Session on Soft Computing for Evolving Data Streams: Advances in Real-Time Pattern Recognition

Event Date: Sep 19, 2021 - Sep 24, 2021
Submission Deadline: Feb 01, 2021
Notification of Acceptance: Apr 05, 2021
Camera Ready Version Due : Apr 25, 2021


Data stream mining and modeling is a recent methodology that deals with the analysis of potentially large volumes of ordered sequences of data samples. Sensor networks, e-mails, online transactions, network traffic, weather forecasting, health monitoring, industrial process monitoring, and social networks are just some of the most common sources of this kind of data. Stream data arrive continuously. They dynamically change over the time, and need to be processed as soon as they arrive, in a finite amount of time. The idea is to capture the essence of the information within the data, and represent it in the parameters and structure of a model. Thus, special-purpose evolving data analysis methods, which are able to identify patterns in data in quite a real time, are needed to address major challenges such as nonstationarity (concept change) and large datasets (Big data).

Call For Paper

Topics of interest include, but are not limited to:

  • Evolving Soft Computing Techniques
  • Evolving Fuzzy Systems
  • Evolving Rule-Based Classifiers
  • Evolving Neuro-Fuzzy Systems
  • Fuzzy techniques for data stream mining
  • Learning in non-stationary environments
  • Online/incremental Fuzzy clustering
  • Adaptive Fuzzy Systems
  • Online Genetic and Evolutionary Algorithms
  • Adaptive Pattern Recognition
  • Incremental and Evolving Fuzzy ML Classifiers
  • Big Data analysis through Fuzzy techniques
  • Real-time pattern recognition
  • Fuzzy techniques for Diagnostics and Prognostics
  • Applications: Anomaly Detection, Text-mining, eHealth, Economics, Computer Vision, Process Mining, Internet of Things, Industry 4.0, Learning Analytics, Cyber Security, etc.

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