Giovanna Castellano

Stefano Rovetta

Zied Mnasri

Scope

Nowadays a wide range of real-world scenarios yield data streams, i.e. collections of data being generated continuously either over time or over space. E-commerce and banking transactions, weather forecasting recordings and sensor data, customer reports and network traffic records are common examples of data streams produced every day.

Accordingly there is an urgent need of methods capable to handle and analyze streams of data that are usually vast in volume (or possibly infinite), high-dimensional and changing dynamically. Analysis of data streams requires models that are specifically designed to adapt continuously and automatically to smooth evolutions (drifts) and abrupt changes (shifts) in the data distribution. Evolving intelligent systems (EIS) is an emerging field that focuses on adaptive evolving models in soft computing.

The main objective of this special session is to discuss the potential of fuzzy techniques to develop EIS for prediction and classification tasks in challenging scenarios involving data streams.

Topics

The special session is intended to collect novel ideas and share different experiences in the field of evolving fuzzy models for data streams. Submission of papers covering theoretical and application aspects of evolving fuzzy models are encouraged. Possible topics include (but are not limited to):

• Learning in non-stationary environments
• Online/incremental fuzzy clustering
• Fuzzy techniques for data stream mining
• Evolving Fuzzy Systems
• Evolving Rule-Based Classifiers
• Evolving Neuro-Fuzzy Systems
• Adaptive Evolving Fuzzy Systems
• Online Genetic and Evolutionary Algorithms
• Adaptive Pattern Recognition
• Incremental and Evolving Fuzzy ML Classifiers
• Big Data analysis through Fuzzy techniques

Instructions for perspective contributors

Please submit your manuscript according to the general instructions for authors for EUSFLAT 2019

Submissions to EUSFLAT2019 can be either for a full paper, to be included in the proceedings (indexed book), or for a 1-page abstract, which will appear in the book of abstracts (with ISBN).

Accordingly, in the first submission step please choose either of the two tracks "Full papers in proceedings" or "Book of Abstracts". Then in the second step choose the special session "Evolving and adaptive fuzzy models for data streams".