Clustering is an essential tool in data mining research and applications. It is the subject of
active research in many fields of study, such as computer science, data science, statistics …

In the field of data mining, clustering has shown to be an important technique. Numerous
clustering methods have been devised and put into practice, and most of them locate high …

We propose an Explainable AI model that can be employed in order to explain why a
customer buys or abandons a non-life insurance coverage. The method consists in applying …

The increasing impact of climate change and rising occurrences of natural disasters pose
substantial threats to power systems. Strengthening resilience against these low-probability …

Clustering is a set of essential mathematical techniques in artificial intelligence and machine
learning for analyzing massive amounts of data generated by applications. Clustering uses …

Abstract 3D edge features, which represent the boundaries between different objects or
surfaces in a 3D scene, are crucial for many computer vision tasks, including object …

With the increased availability of chemical data in public databases, innovative techniques
and algorithms have emerged for the analysis, exploration, visualization, and extraction of …

Data clustering is an important tool in data mining, that helps to retrieve useful data from
large amount of available data. In this digital era data is available in abundance, but finding …

Maintenance is the technology of continuously monitoring the conditions of equipment and
predicting the timing of maintenance for equipment. Particularly in the field of semiconductor …

Landslide susceptibility mapping (LSM) studies provide essential information that helps
various authorities in managing landslide-susceptible areas. This study aimed at applying …