Basic Methodologies

Evolving Soft Computing Techniques. Evolving Fuzzy Systems. Evolving Rule-Based Classifiers. Evolving Neuro-Fuzzy Systems. Adaptive Evolving Neural Networks. Online Genetic and Evolutionary Algorithms. Data Stream Mining. Incremental and Evolving Clustering. Adaptive Pattern Recognition. Incremental and Evolving ML Classifiers. Adaptive Statistical Techniques. Evolving Decision Systems. Big Data. 

Problems and Methodologies in Data Streams

Stability, Robustness, Convergence in Evolving Systems. Online Feature Selection and Dimension Reduction. Online Active and Semi-supervised Learning. Online Complexity Reduction. Computational Aspects. Interpretability Issues. Incremental Adaptive Ensemble Methods. Online Bagging and Boosting. Self-monitoring Evolving Systems. Human-Machine Interaction Issues. Hybrid Modeling, Transfer Learning. Reservoir Computing.

Applications of EAIS

Time Series Prediction. Data Stream Mining and Adaptive Knowledge Discovery. Robotics. Intelligent Transport and Advanced Manufacturing. Advanced Communications and Multimedia Applications. Bioinformatics and Medicine. Online Quality Control and Fault Diagnosis. Condition Monitoring Systems. Adaptive Evolving Controller Design. User Activities Recognition. Huge Database and Web Mining. Visual Inspection and Image Classification. Image Processing. Cloud Computing. Multiple Sensor Networks. Query Systems and Social Networks. Alternative Statistical and Machine Learning Approaches.