A stacking model using URL and HTML features for phishing webpage detection
Y Li, Z Yang, X Chen, H Yuan, W Liu - Future Generation Computer …, 2019 - Elsevier
In this paper, we present a stacking model to detect phishing webpages using URL and
HTML features. In terms of features, we design lightweight URL and HTML features and …
HTML features. In terms of features, we design lightweight URL and HTML features and …
[PDF][PDF] PDF Malware Detection based on Stacking Learning.
Over the years, Portable Document Format (PDF) has become the most popular content
presenting format among users due to its flexibility and easy-to-work features. However …
presenting format among users due to its flexibility and easy-to-work features. However …
[HTML][HTML] Arabic Web page clustering: A review
Clustering is the method employed to group Web pages containing related information into
clusters, which facilitates the allocation of relevant information. Clustering performance is …
clusters, which facilitates the allocation of relevant information. Clustering performance is …
[HTML][HTML] Antlion optimization and boosting classifier for spam email detection
AA Naem, NI Ghali, AA Saleh - Future Computing and Informatics Journal, 2018 - Elsevier
Spam emails are not necessary, though they are harmful as they include viruses and
spyware, so there is an emerging need for detecting spam emails. Several methods for …
spyware, so there is an emerging need for detecting spam emails. Several methods for …
Detecting ham and spam emails using feature union and supervised machine learning models
Spam emails are cyber nuisances that cause serious security threats including personal and
financial information. Although several spam detection approaches exist, detecting new …
financial information. Although several spam detection approaches exist, detecting new …
Stacking neural network models for automatic short answer scoring
Automatic short answer scoring is one of the text classification problems to assess students'
answers during exams automatically. Several challenges can arise in making an automatic …
answers during exams automatically. Several challenges can arise in making an automatic …
A bangla spam email detection and datasets creation approach based on machine learning algorithms
Email is one of the most imperative communication mechanisms of the 21st century. People
around the world send billions of emails every single day which makes people prone to …
around the world send billions of emails every single day which makes people prone to …
[PDF][PDF] Video spam comment features selection using machine learning techniques
Nowadays, social media (eg, YouTube and Facebook) provides connection and interaction
between people by posting comments or videos. In fact, comments are a part of contents in a …
between people by posting comments or videos. In fact, comments are a part of contents in a …
Classification spam email with elimination of unsuitable features with hybrid of GA-naive Bayes
OME Ebadati, F Ahmadzadeh - Journal of Information & Knowledge …, 2019 - World Scientific
Email spam is a security problem that involves different techniques in machine learning to
solve this problem. The rise of this security issue makes organisation email service …
solve this problem. The rise of this security issue makes organisation email service …
[HTML][HTML] Stage–Specific predictive models for main prognosis measures of breast cancer
AA Said, LA Abd-Elmegid, S Kholeif… - Future Computing and …, 2018 - Elsevier
Breast cancer is a malignant tumor that starts in the cells of the breast. A malignant tumor is
a group of cancer cells that can grow into near tissues or invading the distant areas of the …
a group of cancer cells that can grow into near tissues or invading the distant areas of the …