The growth of data-mining applications such as classification and clustering has shown the
need for machine learning algorithms to be applied to large scale data. In this paper we …

Classification of Web pages is one of the challenging and important task as there is an
increase in web pages in day to day life provided by internet. There are many ways of …

Abstract Language identification is widely used in machine learning, text mining, information
retrieval, and speech processing. Available techniques for solving the problem of language …

The high volume of extremist materials online makes manual classification impractical.
However, there is a need for automated classification techniques. One set of extremist web …

Websites offering daily deal offers have received widespread attention from the end-users.
The objective of such Websites is to provide time limited discounts on goods and services in …

Currently, most organizations have a defense system to protect their digital communication
network against cyberattacks. However, these defense systems deal with all network traffic …

With over a billion Internet users surfing the Web daily in search of information, buying,
selling and accessing social networks, marketers focus intensively on developing websites …

AdEater is an early browsing assistant that automatically removes advertisement images
from internet pages. It works by generating rules from training data and implementing these …

Web usage mining is the branch of web mining that deals with mining of data over the web.
Web mining can be categorized as web content mining, web structure mining, web usage …

The aim of this research project was to determine what the degree of usability is of a sample
of online reservation systems of Cape Town hotels. The literature has indicated that the main …