Machine Learning's widespread application owes to its ability to develop accurate and
scalable models. In cyber-security, where labeled data is scarce, Semi-Supervised Learning …

Detecting unsolicited content and the spammers who create it is a long-standing challenge
that affects all of us on a daily basis. The recent growth of richly-structured social networks …

Today, ransomware is one of the most harmful cybersecurity threats that organizations and
people face. Hence, there is a vital need for developing effective ransomware detection …

Abstract Online Health Community (OHC) services are mostly employed for resolving
problems of people with chronic diseases. OHCS also provide social support in addition with …

Semi-supervised data classification is one of significant field of study in machine learning
and data mining since it deals with datasets which consists both a few labeled and many …

Semi-supervised learning is one of the significant field in machine learning or data mining. It
deals with datasets that have many unlabeled and a few labeled samples. In this study we …

Nowadays, users are increasing their participation in the Internet and, particularly, in social
news websites. In these webs, users can comment diverse stories or other users' comments …

Billions of messages are sent daily over the Internet, out of which a majority part of them is
spam. These spam messages have become a primary cause of distraction and security …

Social networking websites face a constant barrage of spam, unwanted messages that
distract, annoy, and even defraud honest users. These messages tend to be very short …

Iron casting production is a very important industry that supplies critical products to other key
sectors of the economy. For this reason, these castings are subject to very strict safety …