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State of the art network intrusion detection systems are heavily influenced by signature based techniques for detecting threats which are extracted from raw packet captures and firewall logs. With the recent emergence of cloud computing and big data analytics, supervised machine learning is also being used to detect deviations of the network traffic patterns from already-known normal patterns. Subsequently,...
The problem of spam detection is a crucial task in the web information retrieval systems. The dynamic nature of information resources as well as the continuous changes in the information demands of the users makes the task of web spam detection a challenging topic. So far many different methods from researchers with different backgrounds have been proposed to tackle with spam web pages problem. In...
There are two shortages when the method of classification based on association rules is applied to classify the web documents: one is that the method process the web document as a plain text, ignoring the HTML tags information of the web page; another is that either item of the association rules is only the word in the web page, without considering the weight of the word, or it quantifies the weight...
Web advertising has become a major industry and a large part of this market consists of contextual ads. Although it has made a great impact on earnings of many publishers' websites, these advertisements tend to disturb the internet surfing of normal users and to consume a lot of valuable bandwidth. Moreover, they always bring extra burden in indexing to commercial search engines as they mix up with...
As there are several limitations using mobile internet, mobile content personalization seems to be an alternative to enhance the experience of using mobile internet. In this paper, we propose the mobile content personalization framework to facilitate collaboration between the client and the server. This paper investigates clustering and classification techniques using K-means and Artificial Neural...
Web document classification is an important technique of Web mining. Web pages classification has been studied extensively since the Internet has become a huge database of information. The k-NN is a simple classification algorithm that is used to assign patterns of unknown classification to the class of the majority of its k nearest neighbors of known classification according to the distance measure,...
With the development and widely used of Internet and information technology, the Web has become one of the most important means to obtain information for people. According to the Web document classification and the theory of artificial neural network, a Web classification mining method based on classify support vector machine (SVM) is presented in this paper. The SVM network structure that used for...
With the development and widely used of Internet and information technology, the Web has become one of the most important means to obtain information for people. According to the Web document classification and the theory of artificial neural network, a Web classification mining method based on wavelet neural network is presented in this paper. Moreover, we adopt a algorithm of reduce the number of...
With the development and widely used of Internet and information technology, the Web has become one of the most important means to obtain information for people. According to the Web document classification and the theory of artificial neural network, a web classification mining method based on radial basic probabilistic neural network is presented in this paper. We construct the structure of radial...
The rapid growth of Web has made it a huge source of information which will make the availability of data easier and more efficient if its content is well organized. Automatic classification of Web pages is one of the major methods in the Web content mining (WCM) which can be of great value in the development and maintenance of Web directories. Based on the analysis done, CMAC neural network showed...
This paper introduces an opinion judgment system that automatically gives advice on whether to recommend this product and furthermore provides corresponding reasons.The core task of the system can be considered as a binary sentence sentiment classification problem. A novel "polarityword-target" related feature extraction method is proposed. An opinion judgment system is then built based...
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