This research aims to reduce social media security risks and develop best practices to help
governments address social media security risks more effectively. This research begins by …

Multi-view clustering has attracted substantial attention thanks to its ability to integrate
information from diverse views. However, the existing methods can only generate hard or …

Due to its effectiveness and efficiency, anchor based multi-view clustering (MVC) has
recently attracted much attention. Most existing approaches try to adaptively learn anchors to …

Stock ranking is a significant and challenging problem. In recent years, the use of multi-view
data, such as price and tweet, for stock ranking has gained considerable attention in the …

Multi-View clustering has attracted broad attention due to its capacity to utilize consistent
and complementary information among views. Although tremendous progress has been …

Clustering incomplete instance is still a challenging task since missing values maybe make
the cluster information ambiguous, leading to the uncertainty and imprecision in results. This …

The propagation of rumours on social media poses an important threat to societies, so that
various techniques for graph-based rumour detection have been proposed recently. Existing …

Multi-view clustering endeavors to effectively uncover consistent clustering patterns across
multiple data sources or feature spaces. This field grapples with two key challenges:(1) the …

Given the limited extent of study conducted on the application of ChatGPT in the realm of
education, this domain still needs to be explored. Consequently, the primary objective of this …

In recent years anchor-based methods have achieved promising progress in multi-view
clustering. The performances of these methods are significantly affected by the quality of the …