Twitter spam detection: Survey of new approaches and comparative study
Twitter spam has long been a critical but difficult problem to be addressed. So far,
researchers have proposed many detection and defence methods in order to protect Twitter …
researchers have proposed many detection and defence methods in order to protect Twitter …
Twitter spam detection based on deep learning
Twitter spam has long been a critical but difficult problem to be addressed. So far,
researchers have developed a series of machine learning-based methods and blacklisting …
researchers have developed a series of machine learning-based methods and blacklisting …
An ensemble oversampling model for class imbalance problem in software defect prediction
Software systems are now ubiquitous and are used every day for automation purposes in
personal and enterprise applications; they are also essential to many safety-critical and …
personal and enterprise applications; they are also essential to many safety-critical and …
Addressing the class imbalance problem in twitter spam detection using ensemble learning
In recent years, microblogging sites like Twitter have become an important and popular
source for real-time information and news dissemination, and they have become a prime …
source for real-time information and news dissemination, and they have become a prime …
[HTML][HTML] A heterogeneous ensemble learning framework for spam detection in social networks with imbalanced data
C Zhao, Y Xin, X Li, Y Yang, Y Chen - Applied Sciences, 2020 - mdpi.com
The popularity of social networks provides people with many conveniences, but their rapid
growth has also attracted many attackers. In recent years, the malicious behavior of social …
growth has also attracted many attackers. In recent years, the malicious behavior of social …
A comparative study of the class imbalance problem in Twitter spam detection
C Li, S Liu - Concurrency and computation: practice and …, 2018 - Wiley Online Library
Recently, online social network (OSN) such as Twitter has become an important and popular
source for real‐time information and news dissemination, and Twitter is inevitably a prime …
source for real‐time information and news dissemination, and Twitter is inevitably a prime …
Statistical detection of online drifting twitter spam
Spam has become a critical problem in online social networks. This paper focuses on Twitter
spam detection. Recent research works focus on applying machine learning techniques for …
spam detection. Recent research works focus on applying machine learning techniques for …
A hybrid spam detection framework for social networks
The widespread use of social networks has caused these platforms to become the target of
malicious people. Although social networks have their own spam detection systems, these …
malicious people. Although social networks have their own spam detection systems, these …
A spammer identification method for class imbalanced weibo datasets
Nowadays, Weibo has become a significant and popular information sharing platform in
China. Meanwhile, spammer identification has been a big challenge for it. To mitigate the …
China. Meanwhile, spammer identification has been a big challenge for it. To mitigate the …
An ensemble learning approach for addressing the class imbalance problem in Twitter spam detection
Being an important source for real-time information dissemination in recent years, Twitter is
inevitably a prime target of spammers. It has been showed that the damage caused by …
inevitably a prime target of spammers. It has been showed that the damage caused by …