A survey on malware detection using data mining techniques
In the Internet age, malware (such as viruses, trojans, ransomware, and bots) has posed
serious and evolving security threats to Internet users. To protect legitimate users from these …
serious and evolving security threats to Internet users. To protect legitimate users from these …
Semantic text classification: A survey of past and recent advances
Automatic text classification is the task of organizing documents into pre-determined classes,
generally using machine learning algorithms. Generally speaking, it is one of the most …
generally using machine learning algorithms. Generally speaking, it is one of the most …
Feature selection using binary grey wolf optimizer with elite-based crossover for Arabic text classification
Text classification is one of the challenging computational tasks in machine learning
community due to the increased amounts of natural language text documents available in …
community due to the increased amounts of natural language text documents available in …
Text categorization: past and present
Automatic text categorization is the operation of sorting out the text documents into pre-
defined text categories using some machine learning algorithms. Normally, it defines the …
defined text categories using some machine learning algorithms. Normally, it defines the …
[PDF][PDF] Text classification and classifiers: A survey
V Korde, CN Mahender - International Journal of Artificial …, 2012 - academia.edu
ABSTRACT As most information (over 80%) is stored as text, text mining is believed to have
a high commercial potential value. knowledge may be discovered from many sources of …
a high commercial potential value. knowledge may be discovered from many sources of …
Digital media news categorization using Bernoulli document model for web content convergence
There are multiple distinct sources through which numerous news contents that occur in
digital medium tend to converge. Web contents constitute massive number of features …
digital medium tend to converge. Web contents constitute massive number of features …
Hybrid supervised clustering based ensemble scheme for text classification
A Onan - Kybernetes, 2017 - emerald.com
Purpose The immense quantity of available unstructured text documents serve as one of the
largest source of information. Text classification can be an essential task for many purposes …
largest source of information. Text classification can be an essential task for many purposes …
Toward blockchain and fog computing collaborative design and manufacturing platform: Support customer view
Overview of current manufacturing enterprises show that successful global manufacturing
enterprise has great collaboration among designer, manufacturer, and customer, which …
enterprise has great collaboration among designer, manufacturer, and customer, which …
[PDF][PDF] Machine learning techniques in spam filtering
K Tretyakov - Data mining problem-oriented seminar, MTAT, 2004 - kt.era.ee
The article gives an overview of some of the most popular machine learning methods
(Bayesian classification, k-NN, ANNs, SVMs) and of their applicability to the problem of …
(Bayesian classification, k-NN, ANNs, SVMs) and of their applicability to the problem of …
A novel approach for text categorization by applying hybrid genetic bat algorithm through feature extraction and feature selection methods
Due to the rapid incline in the number of documents along with social media usage, text
categorization has become an important concept. There are tasks required to be fulfilled …
categorization has become an important concept. There are tasks required to be fulfilled …