Recognizing the weakness of the existing evolving fuzzy systems (EFSs) where the
selection and determination of thresholds for the structure and parameter learning are …

The use of computational resources can improve the diagnosis of medical diseases as a
second opinion. Due to the large amount of data obtained daily, incremental techniques …

Detecção de ataques DDoS no tráfego da IoT utilizando métodos ensemble para classificação
de fluxos contínuos de dados Page 1 Detecção de ataques DDoS no tráfego da IoT utilizando …

Every day a large amount of data is collected by applications such as credit card
transactions, monitoring networks and sensors. This type of data, called data streams, are …

A large amount of data is generated daily. Credit card transactions, monitoring networks,
sensors and telecommunications are some examples among many applications that …

With the arrival of the data explosion era, data modelling/prediction has become one of the
most important research areas. Many datasets in our real-life are essentially data streams …

Stream learning algorithms learn decision models that continuously evolve over time, run in
resource-aware environments, detect and react to changes in the environment generating …