Dimensionality reduction for intrusion detection systems in multi-data streams—A review and proposal of unsupervised feature selection scheme
Abstract An Intrusion Detection System (IDS) is a security mechanism that is intended to
dynamically inspect traffic in order to detect any suspicious behaviour or launched attacks …
dynamically inspect traffic in order to detect any suspicious behaviour or launched attacks …
Network user interest pattern mining based on entropy clustering algorithm
C Xu, S Chen, J Cheng - 2015 International Conference on …, 2015 - ieeexplore.ieee.org
This paper proposed an automatic clustering algorithm based on entropy for discovering the
interest pattern over users' web log. We introduced the information entropy on the basis of …
interest pattern over users' web log. We introduced the information entropy on the basis of …
[图书][B] Network classification for traffic management: anomaly detection, feature selection, clustering and classification
With the massive increase of data and traffic on the Internet within the 5G, IoT and smart
cities frameworks, current network classification and analysis techniques are falling short …
cities frameworks, current network classification and analysis techniques are falling short …
Thermal management: Use of aluminum-nitride multilayer heaters in dispenser cathodes
D Busbaher, PC Smith… - 2011 IEEE International …, 2011 - ieeexplore.ieee.org
Dispenser cathodes must operate at specific temperature while applying specific heater
power. To achieve the required temperature a wire coil heater is commonly used. During the …
power. To achieve the required temperature a wire coil heater is commonly used. During the …
[PDF][PDF] Towards An efficient unsupervised feature selection methods for high-dimensional data
N Almusallam - 2018 - core.ac.uk
The number of dimensions (also called features) of the data has increased significantly in
various real applications such as healthcare, social media and online learning [2]. Figure 1.1 …
various real applications such as healthcare, social media and online learning [2]. Figure 1.1 …