Cluster analysis is an essential tool in data mining. Several clustering algorithms have been
proposed and implemented, most of which are able to find good quality clustering results …

Computations that mimic nature are known as nature-inspired computing. Nature presents a
wealthy source of thoughts and ideas for computing. The use of natural galvanized …

Internet traffic classification aims to identify the kind of Internet traffic. With the rise of traffic
encryption and multi-layer data encapsulation, some classic classification methods have lost …

The creation of frameworks for lowering natural hazards is a sustainable development goal
specified by the United Nations. This study aims to predict drought occurrence in Tamil …

With the continuous development of network technology, an intrusion detection system
needs to face detection efficiency and storage requirement when dealing with large data. A …

Abstract Machine learning algorithms spend a lot of time processing data because they are
not fast enough to commit huge data sets. Instance selection algorithms especially aim to …

Data is accumulating at an incredible rate, and the era of big data has arrived. Big data
brings great challenges to traditional machine learning algorithms, it is difficult for learning …

Home users are increasingly acquiring, at lower prices, electronic devices such as video
cameras, portable audio players, smartphones, and video game devices, which are all …

In cities where land availability is limited, rooftop photovoltaic panels (RPVs) offer high
potential for satisfying concentrated urban energy demand by using only rooftop areas …

As discarding superfluous instances in data sets shortens the learning process, it also
increases learning performance because of eliminating noisy data. Instance selection …