Abstract Online Social Networks are perpetually evolving and used in plenteous
applications such as content sharing, chatting, making friends/followers, customer …

In today's digitalized era, Online Social Networking platforms are growing to be a vital aspect
of each individual's daily life. The availability of the vast amount of information and their …

The feature selection problem is a significant challenge in pattern recognition, especially for
classification tasks. The quality of the selected features plays a critical role in building …

Opinion mining is considered as a subfield of natural language processing, information
retrieval and text mining. Opinion mining is the process of extracting human thoughts and …

Artificial intelligence techniques have grown rapidly in recent years, and their applications in
practice can be seen in many fields, ranging from facial recognition to image analysis. In the …

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 …

Anomaly detection has been an essential and dynamic research area in the data mining. A
wide range of applications including different social medias have adopted different state-of …

Spam detection on social networks is increasingly important owing to the rapid growth of
social network user base. Sophisticated spam filters must be developed to deal with this …

Abstract Detection of Online Social Networks (OSN) anomalous nodes becomes
increasingly essential to identify malicious activities. The abnormal nodes suspiciously …

Social engineering attacks pose a significant threat to individuals, organizations, and
governments globally. These attacks leverage human psychology, manipulating individuals …