Machine learning models have made many decision support systems to be faster, more
accurate, and more efficient. However, applications of machine learning in network security …

A prominent challenge in our information age is the classification over high frequency data
streams. In this research, we propose an innovative and high-accurate text stream …

Large financial organizations have hundreds of millions of financial contracts on their
balance sheets. Moreover, highly volatile financial markets and heterogeneous data sets …

Exploiting available condition monitoring data of industrial machines for intelligent
maintenance purposes has been attracting attention in various application fields. Machine …

This paper introduces a novel anomaly detection approach tailored for time series data with
exclusive reliance on normal events during training. Our key innovation lies in the …

As in today's developing network environment there is threat of new type of attacks daily in
the network. So, the network administration system is also needed to be updated regularly …

In few recent years, data in the network is growing with a rapid speed for the security of
these data lots of tools, and algorithm is developed, but still, there will be need of better …

Reagavimas į klaidingus iškvietimus trikdo ne tik sklandų saugos paslaugų veikimą, bet ir
eikvoja energijos išteklius, didina išmetamų ŠESD emisiją bei transporto atliekų susidarymą …

[POR] Nos últimos anos tem-se verificado um acréscimo exponencial de informação gerada
e disponibilizada a cada dia. Devido ao rápido avanço tecnológico (dispositivos móveis; …

Περίληψη Μια σηµαντική πρόκληση στην εποχή µας είναι η ταξινόµηση κειµένων σε ροές
δεδοµένων υψηλής συχνότητας. Σε αυτήν την έρευνα, προτείνουµε ένα καινοτόµο και υψηλής …